{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d949b709",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.legend_handler import HandlerPathCollection\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.collections import PathCollection\n",
    "import numpy as np\n",
    "import ternary\n",
    "from matplotlib.patches import PathPatch\n",
    "from matplotlib.patheffects import withStroke\n",
    "from scipy.spatial import ConvexHull\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.patheffects as pe\n",
    "from matplotlib.path import Path\n",
    "from matplotlib import transforms\n",
    "from scipy.interpolate import CubicSpline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bde334b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Countries</th>\n",
       "      <th>Local_Awareness</th>\n",
       "      <th>Global_awareness</th>\n",
       "      <th>Remote _Awareness_peak</th>\n",
       "      <th>GDP_nor</th>\n",
       "      <th>Internet</th>\n",
       "      <th>Severity</th>\n",
       "      <th>severity</th>\n",
       "      <th>Duration</th>\n",
       "      <th>Intensity</th>\n",
       "      <th>GDP</th>\n",
       "      <th>GDP_capita</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Austria</td>\n",
       "      <td>15.623819</td>\n",
       "      <td>21.364209</td>\n",
       "      <td>63.011972</td>\n",
       "      <td>0.572988</td>\n",
       "      <td>83.920334</td>\n",
       "      <td>-19.448500</td>\n",
       "      <td>19.448500</td>\n",
       "      <td>21</td>\n",
       "      <td>-2.353773</td>\n",
       "      <td>480</td>\n",
       "      <td>0.522315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Belgium</td>\n",
       "      <td>9.852185</td>\n",
       "      <td>26.626309</td>\n",
       "      <td>63.521505</td>\n",
       "      <td>0.532283</td>\n",
       "      <td>85.582263</td>\n",
       "      <td>-29.597500</td>\n",
       "      <td>29.597500</td>\n",
       "      <td>51</td>\n",
       "      <td>-6.152353</td>\n",
       "      <td>594</td>\n",
       "      <td>0.505887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Czech Republic</td>\n",
       "      <td>30.072057</td>\n",
       "      <td>28.257039</td>\n",
       "      <td>41.670903</td>\n",
       "      <td>0.243847</td>\n",
       "      <td>76.459664</td>\n",
       "      <td>-53.583900</td>\n",
       "      <td>53.583900</td>\n",
       "      <td>64</td>\n",
       "      <td>-6.474590</td>\n",
       "      <td>282</td>\n",
       "      <td>0.259301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Denmark</td>\n",
       "      <td>6.059503</td>\n",
       "      <td>26.537793</td>\n",
       "      <td>67.402704</td>\n",
       "      <td>0.698218</td>\n",
       "      <td>95.215667</td>\n",
       "      <td>-17.492210</td>\n",
       "      <td>17.492210</td>\n",
       "      <td>32</td>\n",
       "      <td>-3.618978</td>\n",
       "      <td>398</td>\n",
       "      <td>0.677499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Finland</td>\n",
       "      <td>18.742631</td>\n",
       "      <td>24.295813</td>\n",
       "      <td>56.961557</td>\n",
       "      <td>0.562866</td>\n",
       "      <td>89.049598</td>\n",
       "      <td>-7.148160</td>\n",
       "      <td>7.148160</td>\n",
       "      <td>11</td>\n",
       "      <td>-1.022518</td>\n",
       "      <td>296</td>\n",
       "      <td>0.522730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>France</td>\n",
       "      <td>39.775159</td>\n",
       "      <td>32.253063</td>\n",
       "      <td>27.971779</td>\n",
       "      <td>0.472658</td>\n",
       "      <td>81.355544</td>\n",
       "      <td>-66.069740</td>\n",
       "      <td>66.069740</td>\n",
       "      <td>78</td>\n",
       "      <td>-4.303838</td>\n",
       "      <td>2960</td>\n",
       "      <td>0.425303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Germany</td>\n",
       "      <td>15.701613</td>\n",
       "      <td>24.448205</td>\n",
       "      <td>59.850182</td>\n",
       "      <td>0.530417</td>\n",
       "      <td>85.712028</td>\n",
       "      <td>-47.769000</td>\n",
       "      <td>47.769000</td>\n",
       "      <td>82</td>\n",
       "      <td>-5.962016</td>\n",
       "      <td>4260</td>\n",
       "      <td>0.501713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Greece</td>\n",
       "      <td>32.282095</td>\n",
       "      <td>21.818321</td>\n",
       "      <td>45.899584</td>\n",
       "      <td>0.237150</td>\n",
       "      <td>65.377652</td>\n",
       "      <td>-32.493200</td>\n",
       "      <td>32.493200</td>\n",
       "      <td>75</td>\n",
       "      <td>-4.374507</td>\n",
       "      <td>215</td>\n",
       "      <td>0.195144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Hungary</td>\n",
       "      <td>38.716405</td>\n",
       "      <td>23.445070</td>\n",
       "      <td>37.838525</td>\n",
       "      <td>0.166424</td>\n",
       "      <td>75.883318</td>\n",
       "      <td>-49.724002</td>\n",
       "      <td>49.724002</td>\n",
       "      <td>64</td>\n",
       "      <td>-6.423531</td>\n",
       "      <td>182</td>\n",
       "      <td>0.179797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Ireland</td>\n",
       "      <td>11.557409</td>\n",
       "      <td>23.279030</td>\n",
       "      <td>65.163561</td>\n",
       "      <td>0.776995</td>\n",
       "      <td>81.864388</td>\n",
       "      <td>-22.734760</td>\n",
       "      <td>22.734760</td>\n",
       "      <td>34</td>\n",
       "      <td>-3.090029</td>\n",
       "      <td>504</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Italy</td>\n",
       "      <td>42.245899</td>\n",
       "      <td>37.346612</td>\n",
       "      <td>20.407489</td>\n",
       "      <td>0.395956</td>\n",
       "      <td>62.343728</td>\n",
       "      <td>-93.183000</td>\n",
       "      <td>93.183000</td>\n",
       "      <td>93</td>\n",
       "      <td>-6.223694</td>\n",
       "      <td>2110</td>\n",
       "      <td>0.354148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Netherlands</td>\n",
       "      <td>6.792220</td>\n",
       "      <td>38.370666</td>\n",
       "      <td>54.837114</td>\n",
       "      <td>0.597981</td>\n",
       "      <td>92.043519</td>\n",
       "      <td>-25.101120</td>\n",
       "      <td>25.101120</td>\n",
       "      <td>38</td>\n",
       "      <td>-4.921578</td>\n",
       "      <td>1010</td>\n",
       "      <td>0.573646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Norway</td>\n",
       "      <td>4.916361</td>\n",
       "      <td>27.084183</td>\n",
       "      <td>67.999456</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>96.153430</td>\n",
       "      <td>-4.022399</td>\n",
       "      <td>4.022399</td>\n",
       "      <td>10</td>\n",
       "      <td>-0.581769</td>\n",
       "      <td>490</td>\n",
       "      <td>0.888210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Poland</td>\n",
       "      <td>36.956287</td>\n",
       "      <td>29.880270</td>\n",
       "      <td>33.163443</td>\n",
       "      <td>0.160387</td>\n",
       "      <td>71.654141</td>\n",
       "      <td>-52.167770</td>\n",
       "      <td>52.167770</td>\n",
       "      <td>71</td>\n",
       "      <td>-4.978648</td>\n",
       "      <td>679</td>\n",
       "      <td>0.172873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Portugal</td>\n",
       "      <td>28.870670</td>\n",
       "      <td>39.142626</td>\n",
       "      <td>31.986704</td>\n",
       "      <td>0.610000</td>\n",
       "      <td>68.250106</td>\n",
       "      <td>-53.459470</td>\n",
       "      <td>53.459470</td>\n",
       "      <td>90</td>\n",
       "      <td>-7.856824</td>\n",
       "      <td>254</td>\n",
       "      <td>0.238007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Romania</td>\n",
       "      <td>18.665295</td>\n",
       "      <td>22.866798</td>\n",
       "      <td>58.467907</td>\n",
       "      <td>0.119157</td>\n",
       "      <td>59.588611</td>\n",
       "      <td>-8.480230</td>\n",
       "      <td>8.480230</td>\n",
       "      <td>25</td>\n",
       "      <td>-1.816683</td>\n",
       "      <td>285</td>\n",
       "      <td>0.142295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Russia</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>0.134419</td>\n",
       "      <td>72.283684</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1840</td>\n",
       "      <td>0.118505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Spain</td>\n",
       "      <td>35.495825</td>\n",
       "      <td>34.640049</td>\n",
       "      <td>29.864126</td>\n",
       "      <td>0.333298</td>\n",
       "      <td>79.858940</td>\n",
       "      <td>-62.023950</td>\n",
       "      <td>62.023950</td>\n",
       "      <td>81</td>\n",
       "      <td>-6.896086</td>\n",
       "      <td>1430</td>\n",
       "      <td>0.295423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Sweden</td>\n",
       "      <td>28.689620</td>\n",
       "      <td>19.922919</td>\n",
       "      <td>51.387461</td>\n",
       "      <td>0.651825</td>\n",
       "      <td>91.925717</td>\n",
       "      <td>-8.480200</td>\n",
       "      <td>8.480200</td>\n",
       "      <td>25</td>\n",
       "      <td>-1.816683</td>\n",
       "      <td>637</td>\n",
       "      <td>0.600148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Switzerland</td>\n",
       "      <td>22.515513</td>\n",
       "      <td>24.643575</td>\n",
       "      <td>52.840912</td>\n",
       "      <td>0.999547</td>\n",
       "      <td>89.087365</td>\n",
       "      <td>-48.707080</td>\n",
       "      <td>48.707080</td>\n",
       "      <td>82</td>\n",
       "      <td>-6.740290</td>\n",
       "      <td>801</td>\n",
       "      <td>0.915709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Ukraine</td>\n",
       "      <td>38.400118</td>\n",
       "      <td>39.570883</td>\n",
       "      <td>22.029000</td>\n",
       "      <td>0.032112</td>\n",
       "      <td>49.359943</td>\n",
       "      <td>-45.543900</td>\n",
       "      <td>45.543900</td>\n",
       "      <td>81</td>\n",
       "      <td>-6.367160</td>\n",
       "      <td>200</td>\n",
       "      <td>0.042600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>28.148451</td>\n",
       "      <td>24.796333</td>\n",
       "      <td>47.055217</td>\n",
       "      <td>0.498836</td>\n",
       "      <td>90.412872</td>\n",
       "      <td>-23.788130</td>\n",
       "      <td>23.788130</td>\n",
       "      <td>39</td>\n",
       "      <td>-3.391918</td>\n",
       "      <td>3120</td>\n",
       "      <td>0.456815</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Countries  Local_Awareness  Global_awareness  Remote _Awareness_peak  \\\n",
       "0          Austria        15.623819         21.364209               63.011972   \n",
       "1          Belgium         9.852185         26.626309               63.521505   \n",
       "2   Czech Republic        30.072057         28.257039               41.670903   \n",
       "3          Denmark         6.059503         26.537793               67.402704   \n",
       "4          Finland        18.742631         24.295813               56.961557   \n",
       "5           France        39.775159         32.253063               27.971779   \n",
       "6          Germany        15.701613         24.448205               59.850182   \n",
       "7           Greece        32.282095         21.818321               45.899584   \n",
       "8          Hungary        38.716405         23.445070               37.838525   \n",
       "9          Ireland        11.557409         23.279030               65.163561   \n",
       "10           Italy        42.245899         37.346612               20.407489   \n",
       "11     Netherlands         6.792220         38.370666               54.837114   \n",
       "12          Norway         4.916361         27.084183               67.999456   \n",
       "13          Poland        36.956287         29.880270               33.163443   \n",
       "14        Portugal        28.870670         39.142626               31.986704   \n",
       "15         Romania        18.665295         22.866798               58.467907   \n",
       "16          Russia        33.333333         33.333333               33.333333   \n",
       "17           Spain        35.495825         34.640049               29.864126   \n",
       "18          Sweden        28.689620         19.922919               51.387461   \n",
       "19     Switzerland        22.515513         24.643575               52.840912   \n",
       "20         Ukraine        38.400118         39.570883               22.029000   \n",
       "21  United Kingdom        28.148451         24.796333               47.055217   \n",
       "\n",
       "     GDP_nor   Internet   Severity   severity  Duration  Intensity   GDP  \\\n",
       "0   0.572988  83.920334 -19.448500  19.448500        21  -2.353773   480   \n",
       "1   0.532283  85.582263 -29.597500  29.597500        51  -6.152353   594   \n",
       "2   0.243847  76.459664 -53.583900  53.583900        64  -6.474590   282   \n",
       "3   0.698218  95.215667 -17.492210  17.492210        32  -3.618978   398   \n",
       "4   0.562866  89.049598  -7.148160   7.148160        11  -1.022518   296   \n",
       "5   0.472658  81.355544 -66.069740  66.069740        78  -4.303838  2960   \n",
       "6   0.530417  85.712028 -47.769000  47.769000        82  -5.962016  4260   \n",
       "7   0.237150  65.377652 -32.493200  32.493200        75  -4.374507   215   \n",
       "8   0.166424  75.883318 -49.724002  49.724002        64  -6.423531   182   \n",
       "9   0.776995  81.864388 -22.734760  22.734760        34  -3.090029   504   \n",
       "10  0.395956  62.343728 -93.183000  93.183000        93  -6.223694  2110   \n",
       "11  0.597981  92.043519 -25.101120  25.101120        38  -4.921578  1010   \n",
       "12  1.000000  96.153430  -4.022399   4.022399        10  -0.581769   490   \n",
       "13  0.160387  71.654141 -52.167770  52.167770        71  -4.978648   679   \n",
       "14  0.610000  68.250106 -53.459470  53.459470        90  -7.856824   254   \n",
       "15  0.119157  59.588611  -8.480230   8.480230        25  -1.816683   285   \n",
       "16  0.134419  72.283684   0.000000        NaN         0   0.000000  1840   \n",
       "17  0.333298  79.858940 -62.023950  62.023950        81  -6.896086  1430   \n",
       "18  0.651825  91.925717  -8.480200   8.480200        25  -1.816683   637   \n",
       "19  0.999547  89.087365 -48.707080  48.707080        82  -6.740290   801   \n",
       "20  0.032112  49.359943 -45.543900  45.543900        81  -6.367160   200   \n",
       "21  0.498836  90.412872 -23.788130  23.788130        39  -3.391918  3120   \n",
       "\n",
       "    GDP_capita  \n",
       "0     0.522315  \n",
       "1     0.505887  \n",
       "2     0.259301  \n",
       "3     0.677499  \n",
       "4     0.522730  \n",
       "5     0.425303  \n",
       "6     0.501713  \n",
       "7     0.195144  \n",
       "8     0.179797  \n",
       "9     1.000000  \n",
       "10    0.354148  \n",
       "11    0.573646  \n",
       "12    0.888210  \n",
       "13    0.172873  \n",
       "14    0.238007  \n",
       "15    0.142295  \n",
       "16    0.118505  \n",
       "17    0.295423  \n",
       "18    0.600148  \n",
       "19    0.915709  \n",
       "20    0.042600  \n",
       "21    0.456815  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/Global awareness over local drought.csv')\n",
    "df1 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/nor world .csv')\n",
    "df2 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_africa_peak.csv')\n",
    "df3 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_asia_peak.csv')\n",
    "df4 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_europe_peak.csv')\n",
    "df5 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_N.america_peak.csv')\n",
    "df6 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_S.america_peak.csv')\n",
    "df7 = pd.read_csv('C:/Users/owner/Documents/drought data google trend/15 june/list of countries/normalized/Nor_oceania_peak.csv')\n",
    "df4 \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86232601",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "56fbb26e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Medians for each column:\n",
      "Local_Awareness           33.333333\n",
      "Global_awareness          29.106125\n",
      "Remote _Awareness_peak    34.258483\n",
      "Unnamed: 4                      NaN\n",
      "Unnamed: 5                33.333333\n",
      "i                               NaN\n",
      "ii                              NaN\n",
      "iii                             NaN\n",
      "iv                              NaN\n",
      "v                               NaN\n",
      "vi                              NaN\n",
      "dtype: float64\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\owner\\AppData\\Local\\Temp\\ipykernel_11352\\4002668560.py:2: FutureWarning: The default value of numeric_only in DataFrame.median is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
      "  medians = df1.median()\n"
     ]
    }
   ],
   "source": [
    "# Calculate the median for each column\n",
    "medians = df1.median()\n",
    "print(\"Medians for each column:\")\n",
    "print(medians)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a53aed0c",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assume df1_normalized and df2_normalized are your dataframes\n",
    "scale = 100  # Adjust the scale based on your data range\n",
    "dpi=1200\n",
    "fig, tax = ternary.figure(scale=scale)\n",
    "fig.set_size_inches(6,5)\n",
    "plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)  # Adjust the layout parameters\n",
    "tax.set_background_color('white')\n",
    "\n",
    "\n",
    "\n",
    "# Plot the data from the first CSV file\n",
    "tax.scatter(df2[['Global_awareness','Local_Awareness',  'Remote _Awareness_peak']].values,\n",
    "             s=df2['severity'].values *2,\n",
    "            marker='o', color='red', #label=\"Africa\",\n",
    "             # Adjust 'Internet' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df3[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df3['severity'].values *2,\n",
    "            marker='o', color='purple', label=\"Asia\",\n",
    "              # Adjust 'severity' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df4[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df4['severity'].values * 2,\n",
    "            marker='o', color='blue', label=\"Europe\",\n",
    "              # Adjust 'severity' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df5[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df5['severity'].values *2,\n",
    "            marker='o', color='green', label=\"N America\",\n",
    "              # Adjust 'severity' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df6[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df6['severity'].values * 2,\n",
    "            marker='o', color='orange', label=\"S America\",\n",
    "              # Adjust 'severity' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df7[[ 'Global_awareness', 'Local_Awareness','Remote _Awareness_peak']].values,\n",
    "            s=df7['severity'].values *2,\n",
    "            marker='o', color='olive', label=\"Oceania\",\n",
    "              # Adjust 'severity' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "\n",
    "\n",
    "# Add legend, title, and styling\n",
    "\n",
    "tax.boundary(linewidth=2.0)\n",
    "tax.gridlines(multiple=10, color=\"black\")\n",
    "tax.ticks(axis='lrb', linewidth=2, multiple=10, offset=0.02)\n",
    "tax.clear_matplotlib_ticks()\n",
    "tax.get_axes().axis('off')\n",
    "tax.legend()\n",
    "\n",
    "\n",
    "\n",
    "fontsize = 12\n",
    "offset = 0.13\n",
    "# Adjust layout to make sure labels are not cut off\n",
    "plt.tight_layout(pad=2.5)  # You can adjust the pad value as needed\n",
    "\n",
    "# Set axis labels\n",
    "tax.bottom_axis_label(\"Global Awareness\", fontsize=12, offset=0)\n",
    "tax.right_axis_label(\"Local Awareness\", fontsize=12, offset=offset)\n",
    "tax.left_axis_label(\"Remote Awareness\", fontsize=12, offset=offset)\n",
    "\n",
    "tax.set_title(\"\", fontsize=15)\n",
    "# Manually add labels using annotate\n",
    "#tax.annotate(\"Global Awareness\", (50, -11.5), fontsize=18, ha='center')\n",
    "#tax.annotate(\"Local Awareness\", (65, 50), fontsize=18, ha='center', va='center', rotation=-60)\n",
    "#tax.annotate(\"Remote Awareness\", (-13, 50), fontsize=18, ha='center', va='center', rotation=60)\n",
    "#tax.set_title(\"Drought Awareness and Severity\", fontsize=15)\n",
    "\n",
    " # Draw lines parallel to the axes\n",
    "tax.horizontal_line(33.333,color='black',)\n",
    "tax.left_parallel_line(29.106125, linewidth=2., color='black', linestyle=\"--\")\n",
    "tax.right_parallel_line(34.258483, linewidth=3., color='black',linestyle=\"dotted\")\n",
    "# Annotate a curve (you can replace this with your own curve data)\n",
    "#curve_data = [(27,5,68), (23,40,37), (48,45,7)]\n",
    "#tax.plot(curve_data, linestyle='-', linewidth=2, color='blue', label='')\n",
    "\n",
    "# Annotate specific points on the curve\n",
    "#for point in curve_data:\n",
    "#    label = f'({point[0]:.2f}, {point[1]:.2f}, {point[2]:.2f})'\n",
    " #   tax.annotate(label, point,  fontsize=8, color='black')\n",
    "\n",
    "# Customize the plot\n",
    "#tax.set_title(\"Ternary Plot with Annotated Curve\")\n",
    "#tax.get_axes().axis('on')  # Turn off axis labels\n",
    "\n",
    "# Add a legend\n",
    "#tax.legend()\n",
    "\n",
    "\n",
    "# Save or display the plot\n",
    "#plt.savefig('C:/Users/owner/Documents/SPI/corr/updated fig/Risk/fig4/drought_awareness_Intensity.jpg', dpi=1200)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "df884a96",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\matplotlib\\collections.py:963: RuntimeWarning: invalid value encountered in sqrt\n",
      "  scale = np.sqrt(self._sizes) * dpi / 72.0 * self._factor\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\ternary\\plotting.py:148: UserWarning: No data for colormapping provided via 'c'. Parameters 'vmin', 'vmax' will be ignored\n",
      "  ax.scatter(xs, ys, vmin=vmin, vmax=vmax, **kwargs)\n",
      "C:\\Users\\owner\\new anaconda\\Lib\\site-packages\\matplotlib\\collections.py:963: RuntimeWarning: invalid value encountered in sqrt\n",
      "  scale = np.sqrt(self._sizes) * dpi / 72.0 * self._factor\n"
     ]
    },
    {
     "data": {
      "image/png": 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MQWhoKMaNG1ekzMzMTKxevRoODg4A/i/49+nTpzL93rx5A1tb2xLH++eff2TOJyQkBMePH4eBgQHGjBnzVX0NDQ3x6dOnItuaNm2K9+/fc54eID9j92+//SYTO1NdYNNMDAajXCxbtozzDIwbNw4//fQTAOCPP/7AhQsX4OPjg+DgYNjZ2XG5MRiKwc7ODiKRCHv27EHbtm1haWmJzp07c+UM/P394ePjg1q1ahWZYyU5OZlbkSQWi5GSkgJfX194e3sDyDdC9+/fX5GnVCQbNmyAn58f9u7dizt37sDS0hL169dHTEwMAgMD8fr1azx//hwNGjQo91jHjh0DEcHR0RHNmzeHlZUV2rRpAyJCWFgY3NzckJWVhTNnzgDIDzLu2bMnLl26hLi4OPTu3RvR0dG4efMmfvzxx2KnxkxMTJCeno6uXbvixx9/REZGBi5cuACBQIAjR47IeBmLY9CgQbh06RLGjx+Pbt26QV1dHT/++CM6deqERYsWYdGiRejWrRvGjx8PsVgMV1dXEBG6dOlSbO2tKosq1oMzGIzqwb1797jcMgYGBhQbGyvT7u/vTxoaGgSANDQ0FJZ7hiGLj48PWVtbU5s2bahGjRqkqalJRkZGNGTIENq5c2eRGYIB2cyx2tra1KBBA+rXrx8tX76cXr9+XeRYJeWZKQ0lZQAuCrFYTIcPH6Z+/fpRrVq1SFtbm5o0aULDhw+ngwcPUnZ2Nte3IM9MREREmfVzdXWlKVOmUNOmTUlHR4d0dHSodevWNHv2bJmMyET52ZJnzZpFpqampKOjQ506daL9+/fThw8fCEChzMMFGYBTUlK4DMDa2trUo0cPuTIAFxAXF0cTJ06kevXqkZqamkwfqVRKhw4doo4dO5KOjg4ZGxvT7NmzKSEhgSwtLam6Pf5ZoUkGg1EmcnJyYGZmhsjISAD5WVCtra0L9VuzZg2Xd6R37954+vRptYlbYTDKQrNmzQCA++0wyg+LmWEwGGXin3/+4W7GAwcO5IIni+pXUHXYy8sLBw4cqCgVGQzGNwLzzDAYjFLz8uVL9O7dG0QEHR0dBAYGolWrVsX2f/z4MSwtLQEAenp6ePv2bakyszIY1QnmmVE8zDPDYDBKRV5eHqytrbkMpxs2bCjRkAEACwsLrmhhbm4u5s+fX2J2WQaDwSgNzDPDYDBKxebNm7F27VoAQLdu3fDy5UtoaHx9YWRGRgY6dOjApXY/d+4cl+SOwWAwygMzZhgMhtyEhISgc+fOEIlEUFdXx8uXL/Hdd9/JffzNmze5/Bl169ZFSEgI6tWrpyx1GQzGNwKbZmIwGHIhlUoxZ84cLsnXsmXLSmXIAPmVtSdMmAAgP9nekiVLFK4ng8H49mCeGQaDIRcHDx7E77//DgBo2bIlAgMDoaurW2o5CQkJaN++PdLS0gAAd+/exfDhwxWqK4PB+LZgxgyDwfgqnz59Qvv27blCku7u7hg4cGCZ5Z04cQKzZs0CADRu3BjBwcGoWbOmQnRlMBjfHmyaicFglAh9URHb2tq6XIYMAPzyyy8YPHgwAODjx49Ys2ZNufVkMBjfLsyYYTCqCI8fP8aoUaNgamoKHo+H69evy7QTEf7991+YmppCV1cXAwYMwJs3b8o97uXLl3Hr1i0AgLGxMbZt21ZumTweDw4ODtw01d69e4usIMxgMBjywIwZBqOKkJOTgy5dusDe3r7I9m3btmHnzp2wt7eHt7c3jI2NMXToUGRlZZV5zKIqYtepU6fM8j6nRYsWhSpr5+XlKUQ2g8H4tmAxMwxGFYTH4+HatWsYO3YsgHyvjKmpKRYvXoyVK1cCAIRCIYyMjLB161bMmzevTOP8+uuvOHnyJADgp59+gpOTkyLU5xCLxejduzd8fX0B5CfgW7dunULHYDAY1R/mmWEwqgERERGIj4+HlZUVt09bWxuWlpbw9PQsk0xXV1fOkDEwMCjWI1QeNDQ0cOzYMa7w5KZNmxAcHKzwcRgMRvWGGTMMRjUgPj4eAGBkZCSz38jIiGsrDTk5OTLenO3bt8PU1LR8ShZDly5dsGLFCgD5nhpra2tIpVKljMVgMKonzJhhMKoRPB5PZpuICu2Th3Xr1iEiIgIAMGDAAFhbWytEv5LGK6is/fz5c1ZZm8FglApmzDAY1QBjY2MAKOSFSUxMLOSt+Rre3t7YtWsXAEBHRwcODg5lMohKg46ODo4cOcJtr1q1CtHR0Uodk8FgVB+YMcNgVAOaN28OY2NjuLq6cvvy8vLw6NEj9O3bV245IpFIpiL2v//+i9atWytc36KwsLDgprZycnLw22+/scraCoKIkJubi+TkZOTm5rLvlVHt+HqpWwaDUSnIzs7G+/fvue2IiAj4+/vD0NAQTZo0weLFi7Flyxa0bt0arVu3xpYtW6Cnp1eqytTbt29HQEAAAKBr165YunSpws+jJLZu3Ypbt24hNjYWzs7OcHR0xJQpUypUh+pEamoqbty4AScnJ8TFxXH7TUxMMG7cOIwZMwaGhoYq1JDBUBDEYDCqBA8fPiQAhT4zZ84kIiKpVErr168nY2Nj0tbWJgsLCwoMDJRbfkhICGlpaREAUldXJ19fXyWdSclcv36dO7e6detSUlKSSvSoykgkEtq3bx/16tWL+vTpQxs2bCAXFxd68uQJubi40IYNG6hPnz7Uq1cv2rdvH0kkElWrXGHMnDmzyN9Rwef58+cy/X19fWnw4MFUo0YNMjAwoJ9++onCw8PlGgsALViwQBmnwfgClmeGwWBAKpViwIABePLkCQDgr7/+Ukim37IyYcIEXLlyBQAwffp0nD59WmW6VDWkUinWrVuHe/fuYe7cuZg0aRJq1apVqF9mZiYcHR1x5MgRDB8+HBs2bICaWvWPPAgPD0dSUlKh/aNGjYK2tjaioqK4VAEhISHo2bMnunbtilWrVkEgEGDdunVIS0uDv78/6tevX+JYPB4PCxYsUEpaA8YXqNqaYjAYykMqlZK7uztJpdIS+x08eJB7M23ZsiXl5ORUkIZFExcXR7Vr1+Z0unv3rkr1qUrs27ePevToQffv35er//3796lHjx5kb2+vZM0qLx4eHgSA1q5dK7N/woQJVK9ePcrIyOD2RUZGkqamJq1YseKrcsE8MxVG9TfDGYxvlOjoaIwcORKDBg0qMXNvTEwM/vrrL27bwcEBenp6FaFisRgbG2PHjh3c9rx587hCl4ziSU1NxdmzZzFnzhwMHTpUrmOGDh2KOXPm4OzZs0hNTVWyhpWTY8eOgcfjcZXcgfycR7dv38bPP/8s49lq2rQpBg4ciGvXrpV6HCLC6tWroampKbN6j1F+mDHDYFRTvLy84OzsDABYuHAh0tLSCvWhLypiz549G4MGDapQPYvj119/5XSJjo7G2rVrVaxR5efGjRtQU1PD5MmTS3XcpEmTwOPxcPPmTSVpVnnJyMjAlStXMHjwYDRv3pzbHx4eDj6fj86dOxc6pnPnznj//j0EAoHc4wiFQkydOhX29va4desW5syZoxD9GfkwY4bBqKZMmDABo0aNApCff+Zz70sBV65c4R5gxsbG2L59e4XqWBJFVdZ+8eKFirWqvBARnJycMHz48CJjZErCwMAAw4YNw9WrV4tdts3n88Hn82XaRSIR+Hx+oQKhBX0/z+QsFovL3VcgEBTqK5FIwOfzIRQKi+z7NS5cuAA+n4/Zs2fL7E9JSQGAIld7GRoagoiKfEEoitTUVAwZMgRPnjzBkydPMHz4cLmOY8gPM2YYjGoKj8fDgQMHoK+vDyDfle7u7s61p6amYsGCBdy2vb29wipiK4qWLVti48aNAPIf1sqsrJ2VlYXFixejadOm0NXVRd++feHt7c21ExH+/fdfmJqaQldXFwMGDMCbN2+UoktZ4PP5iIuLQ69evcp0fO/evREXF1esAWBubg5zc3Okp6dz+86cOQNzc/NCweJDhw6Fubm5TBLHS5cuwdzcnPt/FjBq1CiYm5sjMjKS23fr1i2Ym5vj77//luk7YcIEmJubIyQkhNt3//59mJubY8mSJTJ9Z8yYAXNz86+e97Fjx1C3bl389NNPRbaXlDBSnmSSERER6NOnDzIzM+Hl5YUuXbp89RhG6WHGDINRjWnUqBG2bt3Kbc+dOxe5ubkAgOXLl3OrOsaOHYtx48apRMevsXjxYnz33XcAgKCgIJnzUSTW1tZwdXXFmTNnEBgYCCsrKwwZMgQxMTEAgG3btmHnzp2wt7eHt7c3jI2NMXToUGRlZSlFn9JS8H+tUaNGmY4viJMqkPMtEBAQAB8fH0ybNg3a2toybXXr1gXwfx6az0lNTQWPx0Pt2rW/OsbLly/x7t07TJo0CY0aNVKI3owiUF3sMYPBqAgkEgn179+fWxm0YsUKcnV15bZr1apFnz59UrWaJfLq1StSV1cnAKSlpUXBwcEKlZ+bm0vq6up0+/Ztmf1dunShNWvWkFQqJWNjY7Kzs+PaBAIBGRgY0KFDhxSqS1nJycmh7t27k4uLS5mOd3Fxoe7duxe7ki03N5dyc3NlVsbl5eVRbm4uCYXCIvt+nr9GJBKVuy+fzy/UVywWU25uLgkEgiL7lsQff/xBAIrMxyQSiUhXV5fmz59fqG3YsGHUunXrEmUT/d9qpk2bNhEA2rRp01ePYZQN5plhMKo5ampqOHLkCLS0tAAAO3bswMyZM7n27du3o2HDhqpSTy66du3Kxfzk5eUpvLK2WCyGRCKBjo6OzH5dXV08ffoUERERiI+Ph5WVFdemra0NS0tLeHp6KkyP8qCrqwsTE5MyxxV5eXnBxMSEi1EqSr6urq7M1IqmpiZ0dXW5a+vLvp/nrdHQ0Ch3Xx0dnUJ91dXVoaurW8izUtC3OIRCIc6ePYuePXvCzMysULuGhgZGjRoFJycnGe9bdHQ0Hj58WCpP5tq1a7F7926sW7eu0NQZQzEwY4bB+AZo164d1q1bByA/YDI2NhZAfj0kZVfEVhTr1q3j6kR5enri4MGDCpOtr6+PPn36YNOmTYiNjYVEIsHZs2fx4sULxMXFcbEfXxbtNDIyKlTcU1XweDyMGzcOLi4uyMzMLNWxGRkZuHfvHn7++WelFxWtLFy/fh2pqaklXv8bNmxAbm4uRo4cibt37+LatWv48ccfUa9ePSxbtqxU4/355584cuQItm3bhkWLFrH6WAqGGTMMxjfCX3/9hVatWnHb6urqOHLkSJXJ+qqrqyuTm2PRokUwMTFBo0aNSvz06NFDLvlnzpwBEaFhw4bQ1tbG3r17MXXqVC4bLFA44JOIKtXDf8yYMZBKpXB0dCzVcRcvXgQRYfTo0UrSrPJx7Ngx1KhRo8Rl7O3atYOHhwc0NTUxfvx4/PLLL2jVqhUeP3781ey/RTF79mycO3cOhw4dwuzZsxXqXfzmUe0sF4PBqCjy8vKoVatWXKxM48aNyc7OjgQCATeXv2nTJoqJiaGjR4/Sy5cvycXFha5evUpv3ryhPXv2UEZGhkzflJQUsre3p9evX9ONGzfo9u3b5OvrS4cOHaLExESZvjk5OfTff/9RSEgIXbx4kR48eEDPnj2jEydOUHR0tExfsVhMW7ZsocjISDp9+jQ9efKEHj58SBcuXKCJEyeWWFvny0/Dhg1L9T1lZ2dTbGwsERFNnDiRfvjhBwoPDycA5OfnJ9N39OjRNGPGjHL9XxQNywDM+BZhxgyD8Y2wZcsW7gFvYmJCp0+fVrVKZeLgwYOkoaHBnYuhoSE1bNiw2E/37t3LNE5qaioZGBjQ4cOHuQDgrVu3cu1CobBSBQAXIJFIaO3atdSjRw86fPiwTCr+z8nIyKDDhw9Tjx49aO3atd9UsUlG9YMVmmQwvgFCQ0PRuXNn5OXlQU1NDS9evED9+vXRqFEjmWmUyo5EIsGnT5/g5+fHBWDWr18fb9++5ZbSlpV79+6BiNC2bVu8f/8ef/31F7S1tfH06VNoampi69atsLW1xYkTJ9C6dWts2bIFHh4eCA0N5XL5VBakUikOHjyIs2fPgsfjYdiwYejduzf09PSQm5sLLy8v7nynTZuG3377rcpMNzIYRaJaW4rBYCgbiURCFhYWnCdj+fLlRJS/dHXHjh0q1q50bN68mVsa/PPPP3PnpIipnosXL1KLFi1IS0uLjI2NacGCBZSens61S6VSWr9+PRkbG5O2tjZZWFgUuaS3MpGSkkInTpygkSNHUvfu3bnPyJEj6cSJE5SSkqJqFRkMhcA8MwxGNefw4cOYP38+AKBFixYIDAzkEqQJBAI8e/YMgwcPVqWKcuHs7IwRI0ZwAbdxcXHo0KEDl5HWxcUFw4YNU6GGlRciAp/PR25uLvT09AotsWYwqjrMr8hgVGO+VhFbW1u7yNozlRFjY2OZB7CJiQn+++8/bptV1i4eHo8HPT091KtXD3p6esyQ+YKcnBxMnjwZbdu2hb6+PmrUqIGOHTvCxsYGOTk5hfonJibil19+4b7PPn36wM3NTa6xBgwYUGReG0b5YMYMg1FNISIsWLCAS/j166+/FvLA8Hg8tGvXTsYoqIxs3rwZ3bp1K7R/1qxZGDhwIAAgKioK//zzT0WrxqgGiEQiEBGWLl2Kq1ev4saNG/j555+xceNGjBkzRqavUCjE4MGD4ebmhj179uDGjRswMjLC8OHD8ejRIxWdAYNNMzEY1ZQrV65gwoQJAPKTuwUHBxfrhcnLy8ObN2+KNBhUzcuXL/H9998X6014//49zMzMIBQKwePx8Pz58zIXW2QwPmflypXYtm0bwsPD0aJFCwDAgQMHsGDBAnh6eqJPnz4A8jNId+nSBTVr1vxqBuYBAwYgOTkZQUFBStf/W4J5ZhiMasiXFbH37dtX4nSSmpoaUlNTK0K1UpOWllZie6tWrSqssnZVJTU1Fffv38f169dx//79Svu/rmwUJMbT0NDg9l27dg1t27blDJmC9mnTpuHly5dcYdLScO3aNejp6cHa2hpisbj8in+LqC72mMFgKItZs2ZxK33GjBkjUxywOHJycmjnzp0VoJ38bNmyRS7dRSIRdevWjTtnVtAvn7CwMFq9ejX16tVLZjVTr169aPXq1RQWFqZqFSsVUqmURCIRZWRk0N27d8nY2JimTJki08fY2JgmTJhQ6Njbt28TALp3716JY1haWlLHjh257Z07d5K6ujq7ZssJM2YYjGrGgwcPylwRWywWU0REhPKUKwXh4eGlSuTm5+dHampqSqusXdXw9PSkfv360ZgxY+jcuXOUmppKEomEUlNT6dy5czRmzBjq168feXp6qlrVSsOFCxdkskf/+uuvJBKJZPpoamrSvHnzCh3r6elJAOj8+fMljlFgzEgkElq4cCFpaWnR2bNnFXoe3yJsmonBqEbk5uZi7ty53Pa2bdtKVRE7Ly8Pvr6+ylCt1Hh5eZWqf7du3WQqa8+ZM+ebrX1TkPSvR48ecHR0xNSpU1GnTh2oqamhTp06mDp1KhwdHdGjRw/89ddfeP/+vapVrhQMGzYM3t7ecHd3x+bNm3H16lX8/PPPha6jklaDybNSTCAQYOzYsTh37hzu37+P//3vf+XW/ZtH1dYUg8FQHMuXL+feKi0sLMqUoj47O5v279+vBO3k57///iuT7rm5uTL1p1R9Hqpi9erVNGbMGOLz+SX24/P5NGbMGFqzZk0FaVa1cHR0JADk5OTE7VPENJO+vj5paWnRDz/8QHl5eQrX+1uEeWYYjGqCr68vduzYASA/f4yDg0OZUtTXqFEDs2bNUlmQaEHwcll019XVhYODA7e9atUqfPz4UZHqVXpSU1Ph5uaGiRMnQkdHp8S+Ojo6mDBhAh48eIDU1FTw+Xzw+XzQZ4tcRSIR+Hx+oaDqgr6fey3EYnG5+woEgkJ9JRIJ+Hw+hEJhmfuWhZ49ewIA3r17x+3r1KkTAgMDC/Ut2CdPDpkmTZrg1q1b8PDwwLhx4yAQCMqt67cOM2YYjGqASCTC7NmzuYfQunXr0LZt2zLLE4vFuHnzpqLUKxWOjo7Q0tIq8/EDBw6EtbU1ACArKwu///67zMO5uuPj4wOxWIwRI0bI1X/EiBEQi8Xw9fWFubk5zM3NuazKAHDmzBmYm5tj27ZtMscNHToU5ubmiI+P5/ZdunQJ5ubm3OqyAkaNGgVzc3NERkZy+27dugVzc3P8/fffMn0nTJgAc3NzhISEcPvu378Pc3NzLFmyRKbvjBkzYG5ujlevXnH7njx5AnNzc/z2229ynX9JPHz4EED+irkCfvrpJ4SEhMgswRaLxTh79ix69eoFU1NTuWRbWVnh3r17ePz4MUaOHFlkcj6G/DBjhsGoBuzYsQOvX78GAHTu3Fkm629ZqFmzJsaPH48zZ84oQj25KSi9UN6ih9u3b4eRkREA4Pbt27h06ZIi1KsS5ObmAgBq164tV/+Cft/yw/Tw4cOYNm0aTp8+jYcPH+L27dtYuXIlFi5ciL59+8okzps1axY6duyICRMm4Pz583jw4AEmTpyI0NBQbN26tVTj9u/fH25ubvD394eVlRUyMjIUfWrfDiqe5mIwGOUkNDSUtLS0CACpqamRt7e3wmQnJSWRQCBQmLySEAgElJSUpDB5V69e5WJn6tevT8nJyQqTXZm5d+8ede/enVJTU+Xqn5KSQt27d6f79+9Tbm4u5ebmyiyHz8vLo9zcXBIKhTLHFfT9PLZJJBKVuy+fzy/UVywWU25ubqFrsTR9S+LZs2c0cuRIMjU1JS0tLdLT06MuXbrQpk2bKCcnp1D/+Ph4mjFjBhkaGpKOjg717t2bXF1d5Rrry6XZRERBQUFkbGxM3333nUJ/A98SzJhhMBTAli1bqEePHlSzZk2qX78+jRkzhkJCQmT6FFRdNjExIR0dHbK0tKSgoKByjSuRSMjS0pJ7aC9btqxc8r4kMzOTDhw4oFCZxbF9+3YSi8UKlTlu3Djuu5k5c6ZCZVdWUlJSqFevXnTu3Dm5+p89e5Z69erFKmgzqjRsmonBUACPHj3CggUL4OXlBVdXV4jFYlhZWcm47rdt24adO3fC3t4e3t7eMDY2xtChQ7naSWXh6NGjXD2Y5s2bY8OGDeU+l8/R19fHtGnTcPv2bYXK/ZJLly5hyZIlUFdXV6jcffv2oVatWgCAU6dO4f79+wqVXxkxNDTE4MGDcenSpa8GlgoEAly+fBlDhgypMgVHGYwiUbU1xWBURxITEwkAPXr0iIjyvTLGxsZkZ2fH9REIBGRgYECHDh0q0xgxMTGkr6/PeR7kdXOXFqlUSmFhYXJl4i2r/Hfv3ilFNhHRkSNHuO+oWbNmlJ2drbSxKgthYWHUr18/+vPPP4tdns3n8+nPP/+kfv36sUzAjCoP88wwGEqgIJCv4G03IiIC8fHxsLKy4vpoa2vD0tISnp6epZZPX1TE/uWXXzBkyBAFaF4YHo+HBg0aYN++fUqRv3XrVq6InzKYPXs2BgwYAACIjIz8Jiprt2rVCtu3b4ePjw8mT56Mc+fOITU1FVKpFKmpqTh37hwmT54MHx8fbN++XWa1DoNRFWFVsxkMBUNEGDNmDNLS0vDkyRMAgKenJ/r164eYmBiZpZtz585FVFQU7t27V6oxrl69ivHjxwMAGjRogLdv3yp9miAnJwcBAQEyBfbKy8OHD2FhYaHw6aUvCQsLQ6dOnSAUCqGmpobnz59zOUSqM+/fv8fJkyfx4MEDmQKGGhoaGDJkCH755RdmyDCqBRpf78JgMErDwoULERAQgKdPnxZq+zLVORHJlf78c9LS0kpVEVtRaGtry1QPVgQ6OjrlXoYtD61bt8aGDRuwatUqSKVSWFtbw8fHp1z5bKoCrVq1go2NDZYuXQpfX1/k5OSgRo0a6N69O4uRYVQr2DQTg6FAFi1ahJs3b+Lhw4do1KgRt9/Y2BgAZBKMAUBiYiKXD0Ve/vrrLyQkJAAARo8ejQkTJpRTa/nQ0NBAmzZtFDbdZGtri++//77UxlxZWbZsGbp16wYgP1vr9u3bK2TcyoChoSGGDh2KsWPHYujQod+0IZOVlYUVK1bAysoK9evXB4/Hw7///ltsfz8/PwwZMgQ1a9ZE7dq1MW7cOHz48EGusXg8HhYuXKggzRklwYwZBkMBEBEWLlwIJycnuLu7o3nz5jLtzZs3h7GxMVxdXbl9eXl5ePToEfr27Sv3OO7u7jh27BiA/JVG+/fvrzBjAAAMDAwwd+5cvH37tlxyAgICsHLlSoV7ekpCQ0MDR48e5TxBGzdulMkyy/g2SElJgYODA4RCIcaOHVti35CQEAwYMAB5eXm4dOkSjh8/jnfv3sHc3BxJSUkVozBDLpgxw2AogAULFuDs2bM4f/489PX1ER8fj/j4ePD5fAD5b2iLFy/Gli1bcO3aNQQFBeGXX36Bnp4epk6dKtcYRVXE/tz7U1FIJBLExMSUS4aq6iV99913WL58OQBWWftbpWnTpkhLS8OjR49ga2tbYt9169ZBW1sbt2/fxg8//IBx48bhzp07SEpKwn///VdBGjPkQpVLqRiM6gL+/9LfLz8nTpzg+hQkzTM2NiZtbW2ysLCgwMBAucdYsWIFJ9fc3LxMVaUVRWpqapmT6W3dupVEIpGCNZKfnJwcatmyJfddVlRSQFWRk5NDR44coVGjRtH3339Po0aNoiNHjhSZ2fZbIykpiQDQ+vXrC7WJRCLS1dWlefPmFWqzsrKi1q1bf1U+AFqwYAG3LZVK6e+//yYNDQ1ycHAol+4MWZgxw2BUAXx9fUlNTY0AkJaWVqHswqogLy+PYmJiSnXMx48fFZ7ltyy4u7tzxoy+vj59/PhR1SophZycHJoxYwb16dOHNm3aRJcvX6ZNmzZRnz59aMaMGd+8QVOSMRMSEkIAaP/+/YXali9fTjwer9gcPgV8bswIBAKaPHky6evr0927dxWiP+P/YNNMDIYKiYiIwLlz50rsU1ARu2A6pLwVsRVFTk4OvLy8SnXMw4cPK8W0zsCBAzF79mwA1buy9vnz5xEWFobjx49j7dq1GD9+PNauXYtjx44hJCQEJ0+elDlvkUgEPp+PvLw8GTl8Ph98Pl/mfycWi8vdVyAQFOorkUjA5/MhFArL3FcoFILP50Mikcj7VRUiJSUFAIoMljY0NAQRIS0tTS5ZqampGDJkCJ48eYInT55g+PDhZdaLUTTMmGEwVMTevXthZmaGX3/9FUFBQcX227lzJ/z9/QEAnTp1wooVKypIw5KpXbs2BgwYgJMnT8rVf9++fZg8eTI0NTWVq5icfF5Z+9atW7h8+bKKNVI8N2/exA8//IB27drJ7G/fvj0+ffqE1atXIz09ndt/5swZmJubY9u2bTL9hw4dCnNzc5nVeJcuXYK5uTk2btwo03fUqFEwNzdHZGQkt+/WrVswNzfH33//LdN3woQJMDc3lwnEvn//PszNzbFkyRKZvjNmzIC5uTlevXrF7Xvy5AnMzc3x22+/yfSdM2cOzM3N8fz58xK+HfkoKcBenuD7iIgI9OnTB5mZmfDy8kKXLl3KrROjMMyYYTBURGJiInJzcyESiWBtbV3kW2RYWBi3bFRNTQ3Hjh2rNMYAkP+GOmHCBGRmZpbYLysrC7NmzapUutepUwf79+/nthctWsS9jVcX4uPjCxkyBejo6EAkElWwRlWHunXrAkCR10Rqaip4PB5q1679VTkvX77Eu3fvMGnSJJUE7H8zqHiai8H4ZuHz+dS2bVsudmPPnj0y7VKplAYMGMC1L126VEWalkxycjKdOXOmxD779++nvLy8CtKodPz000/cd/zLL7+oWh2FMmrUKNq0aVORbf/88w/98MMPMjW38vLyKDc3l4RCoUzf3Nxcys3NlQk6F4lE5e7L5/ML9RWLxZSbm0sCgaDMfQUCAeXm5n41PkueAOD58+cXahs2bFipAoA3bdpEAIr9XzDKDzNmGAwV8vjxY+5BWqNGDYqMjOTaPi+Q2Lx580pdIDE5OZmuXr1aZNvJkycLPcQqEzExMVSrVi3uu75//75SxhGJRLRmzRpq1qwZ6ejoUPPmzWnDhg0yD+eCFW8mJiako6NDlpaWFBQUVOYxjxw5Qn369KHg4GCZ/cHBwdSnTx86cuRImWVXB0oyZoiIJk6cSA0aNKDMzExuX1RUFGlpadHKlSu/Kh+fBQDv3r2beDwerVq1SiG6M2RhxgyDoWLmz5/PPUiHDRtGUqmUYmJiyMDAQOkPWEUhkUgoLi6ukPclLy+PYmNjVaSV/Dg4OCjdcLSxsaG6devS7du3KSIigi5fvkw1a9ak3bt3c33s7OxIX1+frl69SoGBgTRp0iQyMTGReZiWhs9XM23cuJEuX75MGzdu/OZXMzk7O9Ply5fp+PHjBIAmTJhAly9fpsuXL8t8J2/fvqWaNWuShYUFOTs7k5OTE5mZmZGpqSklJiZ+dZzPjRkioqNHj5KamhotXLhQaVXov1WYMcNgqJj09HRq2LAh9zA9c+YMjRs3jtueOXOmqlWUi6SkpEJv+jt27KjUXpkCJBIJWVpaKnVK78cff6RZs2bJ7Bs3bhxNmzaNiPK9MsbGxmRnZ8e1CwQCMjAwoEOHDpV5XJZnpjBNmzYtNjdURESETF8fHx8aPHgw6enpUa1atWjs2LH0/v17ucb50pghIrpw4QJpaGjQr7/+qtJcUdUNZswwGJWAGzduyOQ9Kfi7QYMGlJycrGr15CY1NZXc3d2JiOjWrVuFYhkqM+/evSMtLS0CQGpqavTy5UuFyre1taWmTZtSaGgoERH5+/tTgwYN6Pz580REFB4eTgDIz89P5rjRo0fTjBkzFKoLg1HdYKuZGIxKwOjRozFx4kQA+St/Cti7dy+3qqIqULNmTTRs2BBSqRQtWrSoUlWpCyprA+Aqaytytc/KlSsxZcoUtGvXDpqamujWrRsWL16MKVOmAPi/IqRfFh41MjIqVKCUwWDIUnFV3hgMRons3bsXN27c4BKA9ezZkzNwqgqampqoXbs2JkyYgPPnz1doEUxFsGzZMly8eBH+/v4ICAhAvXr1oK+v/9XjjI2N4ePjU2KfixcvcvW7OnbsCH9/fyxevBimpqaYOXMm1+/L74yIqtz3yGBUNMwzw2BUEoKDg2UymQ4fPhzbt2+HUCiEjY0NAMDGxgaxsbE4duwYvL29ce/ePTg5OSE4OBh79+5FZmamTN/U1FTs378fAQEBuHnzJu7cuQM/Pz8cPnwYSUlJMn1zc3OxY8cOhIaG4tKlS3Bzc4OnpydOnjyJjx8/yvSVSCSwtbVFVFQUzpw5g6dPn8LDwwOOjo549OgRzMzM8OrVK5lj4uPjceTIEXh7e8PFxYUruLlv3z5kZGTI9E1PT4e9vT0CAwNx/fp1ODs7w9fXFw4ODkhISJDpy+fzsWPHDoSFheHixYtwd3fHs2fPcPr0aURHR2Pz5s2QSqWwsbGBVCrF5s2bER0djdOnT+PZs2dwd3fHxYsXERYWhr1798Le3p77H2RmZiImJuarH3k8J3/99RdWrVqFyZMno1OnTpg+fTqWLFnCFTs0NjYGgEKyEhMTC3lrGAyGLDyiapjDm8GoYvD5fHTu3Bnv378HAPz2228YP348Bg0apGLNSs+TJ0/QrVs3BAcHo2fPnqpWp9Q4Ojpi0aJFSE5OBgBoaWmhfv36JR4jj2embt26sLGxkclWa2trixMnTuDdu3cgIpiammLJkiVclue8vDw0aNAAW7duxbx588p5ZgxGNUa1ITsMBoOIaOXKlVzQb//+/UkoFFJubi5lZGSoWrVSsX37dq74XlxcXJXLY5KcnEx8Pp+ys7NlKmsfPHiw3LJnzpxJDRs25JZmOzk5Ub169WjFihVcHzs7OzIwMCAnJycKDAykKVOmlGtpNoPxrcA8MwyGivHz80PPnj0hkUigpaWF169fo127dvD19YVUKsX333+vahXlIjQ0FK1atYK6ujq3TyAQIDY2Fi1atFChZvLj7OwMMzMzNGnSBO7u7hg8eDAAQF9fH2/fvkXDhg3LLDsrKwv//PMPrl27hsTERJiammLKlClYt24dFyhNRNiwYQMOHz6MtLQ09OrVC/v374eZmZlCzo/BqK4wY4bBUCFisRg9e/bkiudt2rQJa9eu5dr9/PzA5/PRr18/VakoNzdv3sTw4cNlVjClpaXBz8+PMwoqMzdv3kSXLl3QtGlTbt/s2bNx/PhxAPkrzq5fv86CcRmMSggzZhgMFbJt2zasXLkSQH5FbB8fHxljIDc3FzweD2pqatDW1laVml9lz549mDt3LnR1dQu1xcbGwtXVVWbFTmWDz+dDJBKhRo0aMp6ltLQ0tGvXDomJiQDyK0VPmDBBVWoyGIxiYMYMg6Ei3r9/j06dOkEgEIDH48HLy6vIgFlPT0/weDz06dNHBVp+nYSEBBgaGhZbEZuIkJeXh8zMzK8G0qoKJycndO3atcjpsCtXrnAGTIMGDfD27VsYGhpWtIoMBqME2NJsBkMFEBHmzp0LgUAAAFi8eHGxK3/69u2LmjVrclNRlY379+9DLBYX287j8ZCWlgYvL68K1Ep+Hj58iJ49exYb1/Pzzz9j7NixAPKXSS9fvrwCtWMwGPLAPDMMhgo4duwYrK2tAQDNmjVDUFAQatSoUWz/1NRUqKurQ19fH2pqlecd5MiRI/jf//4HPT29r/aNjY2Fp6cnxo8fXwGayYdUKkVCQgLq1KkDHR2dYvvFxMSgffv2XHZmV1dXDBkypKLUZDAYX4EZMwxGBRMXF4f27dsjIyMDAHDv3j1YWVl99bjHjx9DTU0N/fv3V7aKcpGbmwuRSAQDAwO5+kulUmRnZ0NDQ0Mu46ciuHTpEr777ju0atXqq30dHBy4XC/NmzdHUFBQpTkPBuNbp/K84jEY3wiLFi3iDJkZM2bIZcgAgIWFBYyMjLjEeqrm9OnTxcbJFIWamhoyMzNx69YtJWolP69evYKFhYVchgwAWFtbw8LCAgAQERGBdevWKVM9BoNRCphnhsGoQK5du4Zx48YBAOrVq4eQkJBSFZKMiYmBmpoaTExMlKWiXFy5cgUjRowocWqsOOLj4/H69WsMGzZMCZrJz7t372BsbIxatWqV6phOnTohLy8PampqePHiBXr06KFELRkMhjwwzwyDUUGkp6djwYIF3Pa+fftKXRG7YcOGCAkJwdOnTxWtntxIJBL06tWrzFMsdevWRefOnSGRSBSsmfxcunQJRFQqQwYA2rRpg3///RdA/rTZ7NmzFVpZm8FglA1mzDAYFcSKFSsQFxcHABg5ciQmTZpUJjkDBw5Es2bNOFkVjb29PerUqVPm5HGampoQiUS4cOGCgjWTj/fv32Po0KFo27ZtmY5fvnw5unTpAgAICAjAf//9p0j1GAxGGWDTTAxGBeDh4YGBAwcCAGrWrIng4GA0bty4zPJCQ0OhqalZ4WUCHj58WC6vzOckJSXhw4cP6NWrlwI0kx8/Pz80bNiwXJWofXx80LNnTxARtLW18fr16zIbRwwGo/wwzwyDoWT4fD7mzJnDbW/durVchgwAtG3bFlFRUXj+/Hl51SsVhoaGJS5hLg01atRA7dq1FSJLXq5evQo9Pb1yGTIA0KNHDyxbtgwAIBQKMXfuXEilUkWoyGAwygAzZhjfBAcPHkTnzp1Rq1Yt1KpVC3369MHdu3e5diLCv//+C1NTU+jq6mLAgAF48+aNQsbeuHEjtwKpX79+mD9/vkLkWlpaol27dkhPT1eIvK+xZ88etGjRQmF5bvT09KCjo4OzZ88qRN7XiI+Px4gRIxTmQdmwYQPnGXv8+DGOHDmiELkMBqP0sGkmxjfBrVu3oK6uzi3DPXXqFLZv345Xr16hY8eO2Lp1KzZv3oyTJ0+iTZs2sLGxwePHjxEaGgp9ff0yj/vq1St8//33kEgk0NTUxOvXr9G+fXtFnRZ8fHxQo0YNhcosCn9/f7Rr105hXpnPSU9PR3x8PNq1a6dw2Z/z9OlTNGzYEM2bN1eYTDc3Ny55Xq1atRAcHFyuytoMBqNsMM8M45tg1KhR+OGHH9CmTRu0adMGmzdvRs2aNeHl5QUiwu7du7FmzRqMGzcOZmZmOHXqFHJzc3H+/PkyjykWi2Ftbc2t2vnnn38UbnT06NEDSUlJePnypULlfkl6errSMg8XJNNTJrdv30a9evUUasgAwODBg/Hrr78CADIzM7FgwQKw90MGo+Jhxgzjm0MikcDR0RE5OTno06cPIiIiEB8fL5O8TltbG5aWlvD09CzzOLt27YKfnx8AwMzMjKuOrWh69eoFMzMz8Pl8pcjft28fvvvuO5lq3orE0NAQhoaG5TIcSyIzMxODBw9G69atlSL/v//+Q4MGDQAAN27cwNWrV5UyDoPBKB5mzDC+GQIDA1GzZk1oa2tj/vz5uHbtGjp06ID4+HgAKBQUamRkxLWVlvfv38tkiD169KjSjAFtbW34+PgoJTNwZGQkfvvtt1LnYyktzZs3x08//YSYmBiFy/b29kZkZCTU1dUVLhvIN8bs7e257YULFyItLU0pYzEYjKJhxgzjm6Ft27bw9/eHl5cXfvvtN8ycORPBwcFc+5d5U4ioTLlUiAjz5s3jKmL/+eefSl9+bGFhgezsbLx+/VqhcgMCArjzUCY8Hg+pqakKN8jc3NzQuHFjpccUjR8/HqNHjwYAJCQksMraDEYFwwKAGd8sQ4YMQcuWLbFy5Uq0bNkSfn5+6NatG9c+ZswY1K5dG6dOnSqV3OPHj2P27NkAgCZNmuDNmzeoWbOmQnUvioyMDGhpaUFTUxMaGhrllufg4IBJkybJXUhSEYSHh8Pf3x8///xzuWXl5eVBIBBAS0tLKYHLX/JlZe0HDx5g8ODBSh+XwWAwzwzjG4aIIBQK0bx5cxgbG8PV1ZVry8vLw6NHj9C3b99SyYyLi+PyjwD5BkFFGDIAYGBggCdPniAwMLDcslJTUzFjxowKNWSA/OmmH374QSHLzd3c3BAZGVkhhgyQX2pi27Zt3PbcuXORm5tbIWMzGN86zJhhfBOsXr0aT548QWRkJAIDA7FmzRp4eHjgf//7H3g8HhYvXowtW7bg2rVrCAoKwi+//AI9PT1MnTq1VOP88ccf3IN4+vTpFV5M0crKCkSEsLCwcslxcXGpkOmlL1FTU0NcXBy8vLzKJefly5do164dOnfurCDN5GPu3LkwNzcHAHz48IGr48RgMJQLm2ZifBPMnj0bbm5uiIuLg4GBATp37oyVK1di6NChAPK9NBs2bMDhw4eRlpaGXr16Yf/+/TAzM5N7jOvXr+Onn34CkF9MMSQkBPXq1VPK+ZREfHw89PT0oK+vX6aYnwsXLmD48OGoU6eOErSTj4iICISEhGDEiBGlPpaIkJCQAD09PaUHLhdFaGgoOnfuzFXWfvnyJbp3717hejAY3xLMmGEwFEB6ejo6dOjAFX88f/48pkyZojJ97ty5A1NTU5kYIHkQCoXIzs6GoaFhmQtJKgKRSAQ+nw9tbW1oa2uX6tjbt2+jUaNG6Nq1q3KUk4MtW7ZgzZo1AICuXbvi5cuX0NTUVJk+DEZ1h00zMRgKYOXKlZwh88MPP2Dy5Mkq1efHH3+Ejo4OYmNjS3Xc6dOnwePxVGrIAPmVtePi4uDi4lKq40JCQtCtWzeVGjIA8Ndff3FTXP7+/tixY4dK9WEwqjvMM8NgFINYLMaOHTvQpk0bbvqoKB49eoQBAwYAyC+eGBwcjCZNmlSQlsXz/v176Ovry11U8e7du+jTp0+FF38siejoaERHR6N///5y9Q8PD0fNmjXLXUhSEXh7e6NXr15cZe3AwEClJe5jML51mGeGwSiC9PR09OzZE6tWrcLvv/9ebBK0Lyti29nZVQpDBgBatWqFly9fypV7hojQrl07lcSYlETdunXRsmVLuUoEODs7Iz09vVIYMgDw/fffY8mSJQDyp+/mzJnDKmszGEqCGTMMRhEYGBigUaNGAPIDav/6668i+23atIlbOdSnTx/8/vvvFaajPIwcORJ16tT5akbaQ4cOoVatWkqrv1RWatSogfT0dFy7dq3Efp8+fUKvXr3w3XffVZBm8rFx40auHtSjR49w7NgxFWvEYFRP2DQTg1EMnz59QocOHbgkaG5ubhg0aBDX7u/vjx49enAVsf39/dGhQwdVqVssr169Qt26dYv1GHl5eaFDhw6VzivzOXFxcUhOTkanTp2KbA8ICIC+vr7CC0kqggcPHnCr5gwMDBAcHAxTU1MVa8VgVC8q12sYg1GJaNSoEbZu3cptf54E7cuK2GvXrq2UhgwAdOvWDQEBAQgICCiyvaIy5JaHklY13bt3D2KxuFIaMkB+pulffvkFQH6W5oULFyplnGbNmnHB259/FixYACB/KvHff/+FqakpdHV1MWDAALx580YpujAYFQ4xGIxikUgk1L9/fwJAAGjFihVERLR9+3ZuX8eOHUkoFKpY05IRiUSUkpJCOTk5MvsPHTpESUlJKtKqdAQFBZGTk5PMvoJzEovFKtJKPlJSUqhu3brcNXPlyhWFj5GYmEhxcXHcx9XVlQDQw4cPiYjIzs6O9PX16erVqxQYGEiTJk0iExMTyszMVLguDEZFw6aZGIyvEBISgi5duiAvLw/q6uq4evUqpkyZAj6fDwB4/vw5evfurWItv86jR4/QqFEjtGzZEkD+eTVt2hS6uroq1kx+0tLSkJGRgWbNmgHIXzGko6NT7PRTZaJfv37w9PQEkF+R/e3bt0pNTLh48WLcvn2bi+kyNTXF4sWLsXLlSgD5QclGRkbYunUr5s2bpzQ9GIyKgE0zMRhfoV27dli3bh0AQCKRYNq0aZwh88cff1QJQwYALC0t8f79e65SeHx8PMRisYq1Kh05OTlcuYiHDx9CU1OzShgyt2/f5gwZIL+ydnFB5YogLy8PZ8+exaxZs8Dj8RAREYH4+HhYWVlxfbS1tWFpaSmjF4NRVWHGDIMhBytWrOAemtnZ2QCAxo0bY/PmzapUq9T0798fzZo1w6FDh9ChQwfo6+urWqVS0ahRI6irq+Py5cvo06cP2rdvr2qVvkpmZiZ+++03brsg9ufYsWNwd3dXypjXr19Heno6F6sTHx8PAIWWrRsZGXFtDEZVhhkzDIYcaGpqylREBoD169dXWEVsRVGjRg1cvXoV/fv3R4MGDVStTpno2LEjDA0N8fjx41KXOlAFq1evxqdPnwDkFwLduXMn12ZlZYWGDRuiUaNGJX569OhRqjGPHTuGESNGFFo19WVmZyJSebZnBkMRMGOGwZCT48ePc38bGhqiY8eO2LZtG4RCIWxsbAAANjY2iI2NxbFjx+Dt7Y179+7ByckJwcHB2Lt3LzIzM2X6pqamYv/+/QgICMDNmzdx584d+Pn54fDhw0hKSpLpm5ubix07diA0NBSXLl2Cm5sbPD09cfLkSXz8+FGmr0Qiga2tLaKionDmzBk8ffoUHh4ecHR0BJ/Px3///Yfg4GCZY+Lj43HkyBF4e3vDxcWFqyC+b98+ZGRkyPRNT0+Hvb09AgMDcf36dTg7O8PX1xcODg5ISEiQ6cvn87Fjxw6EhYXh4sWLcHd3x7Nnz3D69GlER0dj8+bNkEqlsLGxgVQqxebNmxEdHY3Tp0/j2bNncHd3x8WLFxEWFoYdO3bgyZMnOHHiBPT19WFjY4OEhAQ4ODjA19cXzs7OuH79OgIDA2Fvb4/09HQZXTIyMrBv3z4EBQXh2rVrcHFxgbe3N44cOYL4+HiZvgKBANu3b0dYWBgcHR3h4eGBp0+f4syZM4iKioKtrS0kEonMMR8/fsTJkyfh6ekJNzc3bNy4EQcOHAAA6OnpwczMDPPnz4e6ujqA/GnL2NhYxMTElPgpjfckKioKDx48gLW1NbfP2NgYAArJSUxMrDRJBhmM8sACgBkMObhx4wbGjh0LANDX18eKFSvw559/VrlpmnPnzmHw4MHQ0NBAzZo1oaWlVekS5ZWEWCzm4pWio6Px6dMnDBs2TMVaFY1QKETXrl0REhICANi5cyeWLFmCyMhI9O/fHzExMVzfBg0alFiI0tjYGD4+PnKN+++//+Lw4cP4+PEjNDQ0AOR7YExNTbFkyRKsWLECQH5cTYMGDVgAMKN6oMqlVAxGVSA9PZ1MTU25ZbXnzp0jIiIvL69KvyT4czIyMig7O5ukUikREV29epVCQkJUrFXp8PDwoGfPnhERUV5eHuXm5lJWVpaKtSqaf/75h7tmvv/+exKLxZSVlUWvX78mIiIbGxuuvWvXrpSXl1fuMSUSCTVp0oRWrlxZqM3Ozo4MDAzIycmJAgMDacqUKWxpNqPaUHVeyRgMFbFy5Uqu+vSIESMwZcoUAPlegry8PFWqViru3r2LrKwsLkZi3LhxSE9PL3VlbVXx5s0bmJiYoG/fvgDy45jCwsLk9lhUJIGBgbC1tQUAaGho4OjRo1BXV0deXh6XaPGvv/7igsr9/f1lYmnKyoMHDxAdHY1Zs2YValuxYgUWL16M33//HT169EBMTAzu379f5byLDEZRsGkmBqMEHj9+DEtLSwD5MQ9v376VKQuwe/duzJkzBzVq1FCVinJx8+ZN9OrVq1B8RFRUFOrUqVOpSxkA+dMkiYmJ4PF4hQKXQ0JCkJiYCAsLCxVpV5jXr19j+vTpCAwMxNq1a7Fp0yZ8/PgRDx8+xIwZM7h+L1++RO/evUFE0NHRQUBAAKuszWCUAWbMMBjFIBAI0KVLF7x79w4AsHfvXixatEimDxEhPDwcLVu2rLSrQkQiEdLT02FoaMgFnn7OpUuX0LVrV7Rp00YF2smHh4cH1NXVYW5uXqgtJycHEokEurq6JcadVDQikQiHDx+GtbU11NTUEBcXhyZNmhS6TpYuXYpdu3YBAAYMGAB3d/dKey0xGJUVNs3EYBTDpk2bOEOmuIrYPB4PwcHBXFBqZeTChQsQiURFGjIAMHHiROTl5X21sraqiIqKQosWLYo0ZID85eZhYWHw8PCoWMW+gqamJhYuXAgdHR2kpaUhPDy8SCNl06ZNXEZjDw8PVlmbwSgDzJhhMIrg9evXXF4ZDQ0NHDlypFhjYPTo0Th+/DhXhLIy8ejRoyLzjXwJEVXabMBSqRRSqbTEPt27d0eLFi3g7+9fMUoVQXHfYUxMDB48eCBTcf1zatSogcOHD3Pby5cvrzJxTAxGZYEZMwzGFxRUxC54MK1duxYdO3Ys8Zg5c+ZUOmOGiNCoUSO54mE6deoENzc3vH//vgI0k58nT57g48ePnOeiJOrUqQNjY2Ooaub87Nmz6N27t4xBVTD9NX78+BKPtbKywsyZMwHkV9b+cjqTwWCUDIuZYXwV+sayhO7YsQPLly8HAHTo0AF+fn5yZZo9deoUJkyYAD09PWWrKBcnT57EkCFD0KhRI7n6ExE+fvyI+vXrV4rik8nJyeDxeDA0NJT7+vP29kZqamqF555JTExE+/btkZqaCnV1dbx58wZt27ZFXFwcXrx4weUoKomUlBS0a9cOycnJAICrV69i3LhxStacwageMM8MoxCf27cikeibMmQ+fPiAf/75h9s+evSo3CnzZ86ciQsXLlSK+JmAgACMGTNGbkMGyI//iY6O5go5qpqkpCTExsaW6vr7/vvv0bFjR4SHhytRs8IsXrwYqampAIDx48dzhoynp6dchgwA1K1bF/b29tz2ggULKs3/gsGo7DBjhlGIAmPG3t4e48ePh6+vr4o1qhiICPPmzeOMkUWLFqFPnz6lkjFu3LhKYfyJxWIu+2tp6N+/P548eYIPHz4oQSv5efbsGVJSUspUEbuiv/87d+7gwoULAPKnuvbs2QMiQu3atYuNkymOiRMnYuTIkQDySw8os7I2g1GdYMYMQwaxWAw1NTW8ePECmzZtQseOHVG3bl1Vq1UhnDp1Cg8ePABQ9orYderUwdGjR1XqnTl16hTq1atX5mRoY8eORe3atVUWEJydnY2uXbuiV69eZTq+YcOGSEpKgqurq4I1K0xWVpZMRexdu3ZxlaivXr2KOnXqlEoej8fDwYMHuQKmR48excOHDxWqM4NRHWExM4wiMTMzQ+/evbFt2zYYGhoiKysL9+/fR0BAALp06YLhw4dXmtgQRZCQkID27dtzy5OdnZ0xYsSIMsu7cuUKRo0aVeFVnSMjI9GgQYNy/2+cnZ3RqVMnNG7cWEGayc/r16/B5/PRu3fvMssgIqSlpSEvL48rsqgMFi1axE0NDR06FPfu3UNqaiq8vb0xfPjwMss9cOAAFixYAABo1aoVAgICKkUcE4NRaanI2gmMqsGFCxeoYcOGFBAQwNXxGTVqFNWrV4/U1dVJV1eXbt68qWItFcvEiRO5OjmTJ08ut7yIiAiV1G16/PgxJSYmKkTWjRs3KDIyUiGy5OXly5f0/PlzhcgKCQmhwMBAhcgqimfPnhGPxyMApKenRx8+fCAiIoFAQB8/fiyXbIlEQv369eOuyaJqLTEYjP+DTTMxCiEQCADkvxHGxMTg119/xdOnT3Hw4EFERUXB2Ni4Qlz4FcXNmzdx6dIlblsRb/LNmjXDrl27uO+yIrhw4QIaN26M+vXrK0SepaUl6tevX2FLnfPy8mBmZlamOJmiaNu2LXJycuDu7q4QeZ8jFAphbW3NfTebNm1C8+bNkZCQgDNnzpQq8Loo1NTUcPToUS6j8X///Qc/P79y681gVFtUbU0xKh9Pnz4lNTU16tatG3Xq1IkaNWpEjx49IiKizMxMGjFiBC1YsEBp42/ZsoUA0J9//sntk0qltH79ejIxMSEdHR2ytLSkoKCgco+Vnp5ODRo04N6AAZCGhgb5+/uXWzYR0f379yvEQ5OYmEh8Pp/zpCmKixcvUlRUlEJlFoePjw+5u7srVKZIJKLs7GxKT09XqNy7d++SmppaoYrYT548Ueg4mzZt4q7Lbt26kUgkUqh8BqO6wDwzjEJv3r1798aBAwdgaGiIPn364MSJE7CwsIBYLMabN2/g7e1drniSkvD29oaDgwM6d+4ss3/btm3YuXMn7O3t4e3tDWNjYwwdOhRZWVnlGu/vv/9GYmKizL4vk+aVh3r16n01e60i8PX1RVJSksJX8kycOBGhoaGIi4tTqNwvefPmDXg8HgYOHKhQuRoaGggNDVV4MsDhw4fj+fPn+O6777iK2Dwer9QBv19jxYoVMDMzAwC8evVKIZW1qzpf3q8YDADMM/OtU+A1yMjIoCNHjlBISAgR5c/ZCwQCmTf9Z8+e0cCBA+nHH39Uii5ZWVnUunVrcnV1JUtLS84zI5VKydjYmOzs7Li+AoGADAwM6NChQ2Ue7/HjxzLemIK/eTwe/fHHH5Sbm1veUyIiom3btpFAIFCIrKK4fv26UmNbYmJiiM/nK02+RCKhrKwsSk5OVtoYPj4+CveaEBH3+0hISCjXtVgSL1684K5NHR0dCgsLU8o4VYHw8HBycHBQuAeSUfVhxgyDiIj+97//kZmZGZ06darI9kePHtGwYcOoR48elJaWphQdZsyYQYsXLyYikjFmwsPDCQD5+fnJ9B89ejTNmDGjTGPx+Xxq27Yt95DYsWMHtWvXjjp06ECenp7lOo+i8PX1VcoNODs7m7KyspQ+lXXq1CmKjo5WiuyXL1/SvXv3lCK7gNzcXOLz+UoxyoRCIQUEBChc7ucsXryYu1YHDhz4zT3Ms7Ky6P79+zR69Gji8Xh05MgRVavEqGSwaaZvGIlEAgA4c+YM7ty5g127dmHChAkAgLi4OLx+/RovXrwAkO/atbKywqFDh1C7dm2F6+Lo6Ag/Pz/Y2toWaouPjwcAGBkZyewvyOdRFmxsbBAaGgogf1rtzz//hLOzM/z8/EqdKE8eUlNTIRKJFC7X1dUVCQkJxRbBVBQzZszAx48fFZ6RNjIyEjVq1ICVlZVC5X6Jrq4u/Pz8ylWIMioqCjt37iw0/cjn85GZmVlODUvGxsaGq0/18OFDHD9+XKnjVRaICO/evcPOnTsxZcoUvHr1CocPH8bkyZNVrRqjsqFqa4qhWoRCIbVp04Y2bNjAvd17e3uThYUF6enpUePGjenEiRNEREqbaoiOjqYGDRrIBN1+7pl59uwZAaDY2FiZ46ytrWnYsGGlHu/169fctJKGhoZCAonlYdu2bSQUChUm78GDB0rzlhRFSEgIZWVlKVRmQkJChQUYExH5+/uTr69vqY+TSqU0fPhwAkDdu3en8PBwIiJKSkqiw4cPK1rNIrl37x7nnTEwMCj0e6hupKam0vXr18nCwoJ4PB5Nnz6dQkNDVa0Wo5LCjJlvHB8fH2rRogVdv36diIhevXpFRkZGNHDgQNq/fz+1aNGC+vTpo9RVFNeuXSMApK6uzn3w/2NX1NXV6f379wqbZhKLxfT9999zD4X169cr8ExKRiKRKCy2RSwWU0JCglJjcYri+PHj9OnTJ4XI8vHxobt37ypElrykpaVRZmZmqaflzp49y10zDRs2pIyMDJJIJBQdHU0SiURJ2hZmxowZnB4///xzhY1bkYjFYgoICKBly5ZRzZo1qU2bNnTx4sUKv9YZVQtmzHzjhIeHk6amJi1evJhsbGzIzMyMLC0tKTs7m4jyl0lbWFhQfHy80nTIzMykwMBAmU+PHj1o2rRpFBgYyAUAb926lTtGKBSWKQB4586d3MOgffv2ct8gFRWTcuHCBYV4Zy5dukTv3r1TgEalJyAgoNzB0QkJCRQREaEYhUqJh4cHPX36VO7+iYmJVLduXe66uXHjBhHlew5u3bqlLDWLJDk5merVq8fp4uTkVKHjK5v4+Hi6cOECdevWjTQ0NGjhwoUV6n1kVF2YMcMgGxsbUldXJ319ffr1118pJSWFiPJXOE2ZMoV++OGHCtfp82kmIiI7OzsyMDAgJycnCgwMpClTppCJiQllZmbKLfPDhw+kp6fHPQjkDfT19vamLl26cA+x8rJnzx7Ky8sr8/He3t4qnWJ48eIFpaamlktGVFQUvXnzRkEalZ6QkBC5jcH//e9/3DUzceJEIso3Ko4fP65MFYvlwoULnD4mJiZKC8ivaD59+kS//PIL6evr03fffUcuLi7l+p0wvi2YMfMNUtRKiOjoaPLz8+PeuLOysujs2bOko6NDPj4+Fa1iIWOmIGmesbExaWtrk4WFRalS1UulUho6dCj3EFi4cOFXj8nJyaFly5ZxydEaNmyokORrOTk55XoAvX//vlRGnDI4duxYmQ0qX19funPnjoI1Kh0xMTFyeRudnZ25a6ZOnToUHx9PUqmU0tPTKScnpwI0LYxUKqUff/yR02vOnDkq0UMZtG3bloyNjSk4OFjVqjCqGMyY+YYomCrJzc2l0NBQOnXqFF2+fLlQLAoR0Zo1a8jMzIxWrVpV0WoqhZMnT3I3/0aNGsllDDg6OspkBgZA8+fPV4g+Bw8eLNNb58WLF7lcQKqkIF6ktLFUmZmZlJSUVKFxJsXh5uZW4nRTZmYmNW7cmPvfFwTCp6Sk0NmzZytIy6KJjo6mGjVqcLo9fPhQpfooioLs48ePH+fuV5+/fH1rS9IZ8sOMmW+Ez28C06ZNIxMTE+LxeKSvr08mJia0dOlS7uYREhJCv/zyC5fzpTIjz80tPj6e6tSpw9345fUKSKVSsrKykjFmunTporBkekePHi2VQRMaGqrUxHKlxcXFpdRFLcPCwhRWSFIRREVFUUxMTJFtixYt4v7vQ4YMIalUSqmpqXTx4sUK1rJo7O3tOf1atWqlsOtS1cyePZuaNm1aqKRISb91ZuQwmDHzjVDwJvzPP/9QkyZN6MCBA5SRkUH37t0jNTU1mjFjBkmlUu5NOy0tjQsCrqy8ePGCunfv/tXppkmTJnE3/alTp5ZqjIiICNLT0yMtLS2ysbFR6Bx+QkJCqYKB/f39KSEhQWHjK4LTp09TXFycXH39/f3p/v37StaodLx7967IQGQvLy+uIrauri63FFsoFCqsKnl5kUgk1LdvX+7ari5eVCKi+vXrk7W1NTcdW3D/EgqFtGfPHlq/fj3t2bNHZqk2M2i+bZgx8w0RExNDRkZGdOjQIS5nzIkTJ6hWrVrc1MWRI0eKnHaqbDg7O3OxLL169Sp2tdHNmze5m72hoWGZHkRXrlyht2/fllflIvnvv//kmqq5cuVKpYwj4PP5lJqa+tUHiUAgoOzsbKWWRSgrDx48KBQMnp2dTUuWLCE1NTX677//iCh/9ZKyShaUleDgYNLU1CQApKamViV+u/Jw48YN4vF4dPr0aW7flStXqFGjRsTj8UhbW5t4PB61atWKywZcEQVdGZUXZsx8Q7i5uVHbtm3Jw8ODiPKXnOro6NCuXbuIKH8KYPTo0XTy5EkVaikfX5Yj2LNnT6E+GRkZ1KhRI67PmTNnVKDp17ly5UqJN+KYmBjKzs6utG+ely5d+qrH6O3bt+Tq6lpBGpUOqVRKycnJRa7QevXqFYlEIsrKylJ50HJxbNy4kbvGv/vuu2pTWfvHH3/kknlu376deDwe9e/fn8t1FBYWRsuWLSNdXV1u+XZliMViqAZmzHxD+Pr6kqamJt28eZOIiKysrKhfv37cqowHDx5Qq1atlFKQTxl8XiiyRo0ahRLS/f7771z7sGHDKq0xEBoaWuJN2NPTU2U5WeTl8uXLxXq9goODK32Aqq+vb4mB1Xl5efT+/fsK1Eh+hEIhmZmZcdf6tm3blDbWp0+f6H//+x8ZGhqSrq4udenSRWa1Y8GqQxMTE9LR0SFLS8syZ9guMPCTkpKoVatW1LNnT/L29pbpk5KSQn379qXZs2eX/aQY1QJmzHwjSKVS+vjxI7Vs2ZLGjh1Lp0+fJh0dHXr58iUREcXGxtKAAQNozJgxqlW0lPz2229FGixPnjzh9uvp6Sm1qrQi2LJlS5Fv1Ddv3qyU00tfkpycXGQCQrFYTHw+v0rkQnnw4AGXCftz0tPTae/evSrQSH68vLyUXlk7NTWVmjZtSr/88gu9ePGCIiIi6MGDBzJGnp2dHenr69PVq1cpMDCQJk2aVOp8UF/i4eFBPB6P8ygTkcxvZeTIkTR58mSFlgphVD2YMfONcenSJapRowbxeDwuGPbZs2e0YMECqlevXqVaLSMP6enp1LBhQ5mpJD6fT+3ateP27d69WyljZ2Vl0dKlS+nDhw8Kkffw4UMZ71FaWhrx+fwqEwtw/PjxQt6ZN2/eVHiW3LKyc+dO0tXVpc2bN3MPS6FQWGU8lX/++Sd3zQ8aNEjhnsiVK1dS//79i20vyNRtZ2fH7RMIBGXK1P05t27dIhMTEy6u6fPfw6dPn6hu3br0yy+/lFk+o3rAjJlqSnHTFunp6bRr1y7q2bMnF0BXs2ZNsrKyomvXrlWskgrixo0b3E28bt26tGTJEm67pODg8uDi4kJNmzYlADR06FCFPDg8PT1ldHV3d68SXpnPuXv3LueFiYiIqFTLsEsiKipKJm+Ll5cXEeXnZFJF0siykJWVRU2aNOHO4dixYwqV3759e1q8eDGNHz+e6tevT127diUHBweuPTw8XGE11D4nISGBateuTYcOHeK8f3l5eRQaGkpz5swhHo9Hly5dKrN8RvWAGTPVkAJDRiQS0cGDB2nevHlkbW0tExPg4+ND165dIxsbG7p48WKV88h8ycSJE7mbeMGSWg0NjVJlCZaXU6dOFUqmp6ig6S1btpBYLCZXV9dKkRyvtERERJBQKCSpVEpZWVnF5nCpTEilUhoxYgT3vxwzZgy9evWKMjIyigwsr8y4uLhw51G7dm2Flr3Q1tYmbW1t+vvvv8nPz48OHTpEOjo6dOrUKSL6v+r2X/7P58yZQ1ZWVuUae+vWrVSvXj36888/6dq1a2RnZ0f9+/cnNTU1+uuvv8olm1E9YMZMNaTAS2BtbU0mJibUtGlTMjU1JTU1NVq0aJHKU+Ergy8T4wGgdevWKWWsL1dJFZQ6UMScvVQqJV9fX8rKyqqyVYIPHjxIT58+patXr6paFbn4vCK2qakpffz4kXJycujVq1eVNmi8JKZPn86dj66uLjVs2PCrn+7du39VrqamJvXp00dm36JFi6h3795E9H/GzJcGlLW1NQ0bNqzc57VmzRpq27Yt8Xg84vF4ZGZmRufOnePaP378WGjpf1X8/zHKhhoY1Q4ej4enT5/i8uXLOHjwIHx9fXHnzh2sWrUKp06dQrdu3XDz5k2uPxGpUFvFYGRkhOHDh3PbGhoaUFNTg1AohI2NDQDAxsYGsbGxOHbsGLy9vXHv3j04OTkhODgYe/fuRWZmpkzf1NRU7N+/HwEBAbh58ybu3LkDPz8/XLhwAXZ2dtxYzZs3h7OzM/bt24fQ0FBcunQJbm5u8PT0xMmTJ/Hx40cZuRKJBLa2toiKisKZM2fw9OlTeHh4wNHREe/fv8fKlSsRFBSE7du3c8fEx8fjyJEj8Pb2houLC65du4agoCDs27cPGRkZMvLT09Nhb2+PwMBAXL9+Hc7OzvD19YWDgwMSEhJk+vL5fOzYsQNhYWG4ePEi3N3d8ezZM5w+fRrR0dHYvHkzpFIpbGxsIJVKsXnzZkRHR+P06dN49uwZ3N3dcfHiRYSFhWHHjh3g8/mIjIzE+/fv8fr1ayQkJMDBwQG+vr5wdnbG9evXERgYCHt7e6Snp8vokpGRgX379iEoKAjXrl2Di4sLvL29ceTIEcTHx8v0FQgE2L59O8LCwuDo6AgPDw88ffoUZ86cQVRUFGxtbSGRSGSO+fjxI06ePAlPT0+4ubnh0qVLeP78OebOncv9Lw8cOICTJ0/iypUr2L59O169eoU7d+7g5s2bCAgIwP79+5GamiojNzMzE3v37kVwcDCcnJxw7949eHt749ixY4iNjZXpKxQKsW3bNoSHh+PChQvw8PDAkydPcPbsWURGRsLOzg5isVjmmE+fPuHEiRPw8vKCq6srLl++jJCQEOzatQvZ2dkyfZOTk9G5c2fUqlULAMDn8xETE/PVT3x8/Fd/YyYmJujQoYPMvvbt2yM6OhoAYGxsDACFZCUmJsLIyOir8r/Ghg0b4O7ujqdPn+Lhw4cIDAzE1KlT4evri+HDh2PgwIFo3LgxZs+ejQcPHpR7PEYVQ9XWFENxfB4nc/v2bZo+fbpMYcTMzExydnamIUOGkKamJo0bN67KTy8V8OHDB9LV1eXeSG1sbJQ+5rx588jBwUGhb3/Pnz+n9+/f09atW6tszoykpCS6ceNGpc8gTSRbEXvChAlElP872bt3L3l7e1fJqT6i/GDsgvNSU1MjU1PTcntmpkyZUigAePHixZy3piAAeOvWrVy7UCgsdwBwSWzZsoV4PB6ZmprSqFGjaPHixdSuXTtq1qwZPXv2jIio2uTdYZQMM2aqEQUPVXt7e1q6dCmNGjWqyAfihw8faMuWLVSrVi168+ZNRaupcL6soWRtbU07d+5UtVqlRiKRUEJCAmVmZpJIJFJovENF8fbtWy4Yc//+/ZSSkqJijYqnuIrYsbGxJBKJuP9FVZuqkEqltGPHDvrhhx+485s7d2655b58+ZI0NDRo8+bNFBYWRufOnSM9PT2Zopt2dnZkYGBATk5OFBgYSFOmTCn30uziePr0KdWqVYsGDRokUyYjLCyMZs2aRS1btuT2VbX/IaP0MGOmmpGSksLNKzdp0oTLI0Mk67nJzs5W2JJiVfN5QG7Dhg25B1BVyGT8OXfu3JFZCXL8+PEq5Z3JyMig8PBw7sEhlUopKCioUr4ZZ2Zmyqz8OX78OBHlrwhydHTk+t25c4devXqlIi1Lz+fX/ZcrtD7P01JWbt26RWZmZqStrU3t2rWTWc1UMP769evJ2NiYtLW1ycLCQilB+EREv/76K9WuXbvI+kxhYWHUvn17sre3V8rYjMoHM2aqIY8ePaKlS5eSoaEhmZqa0pUrV7i2qpKzRF4SEhLI0NCQu2Hfvn2ba4uOjq4y5/vmzRsuJfvn7Nmzp8oYNDExMYUytD58+JAyMjJUpFHxBAYGUrNmzQgADR48mKRSKWVnZxd6OBMRBQUF0adPn1SgZekRi8Uy19G+ffu430br1q2rRWXtAoNl/PjxNHDgwEL7ifJf6saNG0f//fdflfn9MMoHM2aqKfHx8XTq1Cnq06cP8Xg8mjRpktzVjasSkydP5m7WU6ZMkWmTSqVka2urEr3u379fqqKKHz58KLK+UWZmJmVlZSlSNaUQGhoqYzR/zoEDB4qse6RqsrKyaPny5VxF7KysrCKnQ8LDwytNpeySkEqltHnzZpl9EomE+vTpw/1G/v77bxVpp3gmT55Mo0ePLtZYfvXqVZXIPM1QDMyYqeJ8/taRl5dH6enpMoGX/v7+tHLlSqpTpw41aNCgyuXNKIlbt27JxDwUZQxIJJIKLRCYkJDAGVhr166V6xhnZ+cSE7Pt3r27Ur9dCgQCSkxMLNYLJhaL6dOnT5U6biE7O5sOHz5cbPuNGzfI39+/AjUqPcVlWn7z5o1MZe2qNG1WErdv3yZdXV169OiRzNRmUddZQdqEyvw7YpQPZsxUE06fPk0jRoyg9u3bU4cOHWjz5s2cZyArK4ucnJyob9++VK9evSoz9VISX+Z6OX36dLF9v8xIqizu3LkjM+WloaFBAQEBJR4THR0t11t/ZY6fiYqKogcPHpTY5+rVqzIr6yoTOTk5dOHCha/2i4iIqLQBzVKptEQjZcOGDdx12b1790oZx1QWJk2aRH379uXihL78jYjFYjpz5gytXLmS+99Vh/sfozAsz0wVRiKRAAD279+PpUuXgogwYMAAtGvXDmvXrsXGjRshkUhQs2ZN/PTTTzh8+DCePXsGdXV1FWteflavXo1Pnz4BAKysrDBt2rRi+3bp0gWbN29Wuk6NGjVCZmYmty0WizF79mzu/1QUmZmZyMnJ+apsKysrSKVSheipSMLDw+Hv74/BgweX2G/cuHG4evUqMjIyKkizwgQHB+PHH3/Ehw8fZPZraWnBwsLiq8dnZGQgNzdXWeqVGSLCli1b0LVr12L7rFq1Ch07dgQA+Pr6Yvfu3RWjnJI5duwYWrdujYSEBGRnZ0NNTQ05OTmIiYlBdnY2d6979eoV5s+fDwDV4v7HKAJVW1OMslHgSk1OTiYDAwPatWsXN3dsb29PBgYGXF2cgjoz1YWnT59yJQt0dXUpIiLiq8dIJBJ68eKF0nVbs2aNzNTXiRMnip1ecXFxKRQwWxK2traVaqpGLBZTdna23PlksrOzVZZ9WiwWc7Ejenp6XPHInJycUhUivXHjxle9bRWNvPWvPD09ZTIDf17tuiqTnZ3NeVseP35Mo0aNohYtWlCPHj24/DYvXrygevXq0YkTJ4iIeWeqI8yYqeIcOHCAOnbsyBUkzMvLozp16tA///xDRPnz5T/99FO1MWgEAoFMRexdu3bJdZxUKiVXV1flKkdEfD6f2rZtSxMnTqT4+Phi+yUnJ1NWVlapp45u3LhRaQyaiIgIun79eqmOOX78uEqmm4pa1SMUCksdTyUWiykpKYlycnKUpGnpkEqlMjlWvsYff/yh1MraqiQ9PZ1GjBhBDRs2pLlz59LkyZPJ2NiYu0f8888/1L59+1IF5jOqDsyYqaIU3ISOHj1K9evX51a8TJ06lTp16sQ9MK5du0a9evUqlQegMvPPP/9wN+OePXuW6g1LIpHQli1blKhdPvKsoPDx8aGgoKBSyw4ICKgUD6CoqCi6d+9emY51dHSsUA9NVFQU1axZs1C+FZFIVKakkY8fP+ZWQKkSqVRa6kzXX1bWLsivUx3w8vIiXV1dbpEDn8+nffv2kYaGBiUlJdGTJ0+oa9euFBUVpWJNGcqAGTNVjII3+YKH+J07d0hLS4vc3d3p7t27xOPxyN3dnYjyb1xjx46lkSNHqkxfRRIQEEAaGhoEgNTV1cvk7pdIJCp3r7u7u5Ovr2+Zj7exsVGpQSOVSonP55d5uXJcXBzl5eUpWKuikUqlRWbCzc3Npe3bt5dZrrOzs8qzZ79//75M18HnmY9r165dbVI2eHh4UP369cnFxYWI8u+RfD6fRo8eTRYWFmRra0uNGjWSCeJm003VB2bMVDEKbl4LFy6kmzdvUnR0NLVp04Zat25NhoaG9PvvvxNRfizArl27SFtbm8LCwlSpskIQi8XUq1cv7iYs77LnL5FIJDIZXiua7Oxs4vP55a6wXVB3RhVERETItfqnJOzt7SvEO3P+/HnumjExMaH09HSSSCTk6elZLrm5ubmUnZ1dYUZZUZw/f77MxxZVk6o60L17d5o+fbqM98XJyYm0tLRIX1+fli9fTiKRiCQSiYwhUx3ukd86zJipQhQYMs+ePSMej8clKQsKCqKBAwcSj8ejMWPGkI2NDQ0cOJDat29PO3bsUKXKCmP37t3czbddu3YkEAjKLEssFtN///2nQO3k5969ezIlJsqKm5ubSrwziYmJXPBseXF2dlZq/EJSUhLVq1ePu26uXbtGRPlxV4o4B2dnZ3r37l255ZSFbdu2lev4pKQkqlu3LvfdlDb2qbISFBRE/fr1o169etHmzZtp9uzZ1KlTJ+LxeLRkyZJCS9ITExNp+vTppK+vX2QGbkbVgRkzVYTPH1y7du2i//3vf1xshkQiIX9/f7KxsaHmzZtTly5daPTo0aUKDKzMREREkJ6eHnfjVcSDSCAQVGjFcKlUSqtXryZ9fX2ZkgvlQRXTTYqs6RUSEqJUz8b06dO5a2b8+PFElB9HUZ7ppS9xc3Or8Lf65OTkchnzBZw9e5b7fkxNTSttHqDSEhkZSUuXLqV69eoRj8ejVq1akZubW6F+p06dotatW1OzZs3of//7H719+1YF2jIUBTNmqggFD61bt27R8uXLady4ccX2TUlJqRRBoopAKpXSsGHDuJtuwTRaeRGLxdyyTWXz/v17GjhwIHcOjRo1Uki9IqlUKlNkT9lERkbSqVOnFCpz165dSinXEBAQUCgupOD7UuRvIyUlhfh8foUmNNy/f79C5EilUhoxYgT3Pc2bN08hcisDU6dOJR6PR//++2+htvDwcPr555+pdu3aNGDAADp58mS1qFn1rcOMmSpEUlIS1apVi3g8HtWtW5fc3d1l3KbKCmZbv349d8Mr+BgZGXHtBZVyTUxMSEdHhywtLcu0UqcoTp8+LVMRW5FFCyvKoDlx4kSh72/BggUKkX3x4sUKMVwzMzOVlgb/2bNnSslI6+LiQk2bNqVjx44RUb43rmCqSZE4OTlVmFGpKEOmgMjISBmv56NHjxQqX1W8fv26yBWce/bsocaNG1Pz5s1p+fLlMkHclTXDNkM+mDFThShI/DZv3jzi8XjUt29fun//vsybrTIebOvXr6eOHTtSXFwc9/l8JYudnR3p6+vT1atXKTAwkCZNmkQmJiblDvD8siJ2cbVnykNycrLS8068fv1aptgfAJo2bZrCbp5bt25VukGTmppKr1+/VopsLy8vpf0PcnJySCqVkkAgkDsnUVnw9PRUemVtPp+vlHIKe/fu5a7LNm3aVMs8LH5+fjR06FCqU6cO/fDDD3T58mWZl7/q4sn+lmHGTBUkKSmJTpw4Qc2bN6fatWvTunXrKCwsTGlvFuvXr6cuXboU2SaVSsnY2Jjs7Oy4fQKBgAwMDMrt9ZgyZQp3k500aVK5ZBWHSCSinTt3KkU2Uf73k5iYSC9fviQ9PT1q3LixwgtfCoVCpVZ1jo6O5mrfKIudO3fKnUm4LCQmJpZ7BVlJREVFUVZWllIfiuUN+i0OsVhMvXv35n5rq1evVso4quLvv/+mRo0aUbt27WjdunUyMV/MG1N9YMZMJaakG6NQKKTg4GCaPXs2aWhokIWFBTk6Oipl7nf9+vWkp6dHJiYm1KxZM5o0aRKXNCw8PJwAFCrmOHr0aJoxY0aZx7x9+/ZXK2IrCpFIRBcvXlSKbA8PD3r8+DER5QeLKms58qFDh5TyIBUIBBQeHq70N1epVEohISHlGkcoFNKlS5cKyRAKhdxUkzJxdHRU2uqmc+fOKUVuAUFBQTI5nCp7hXB5ef78OampqdH48ePp7t27Mm3MG1O9YMZMFSAyMpJ27txJBw8eJEdHR5k3zPT0dLp69So1a9aMmjRpopS4GWdnZ7py5QoFBASQq6srWVpakpGRESUnJ9OzZ88IAMXExMgcM2fOHLKysirTeJmZmdS4cWPOmFG2V4AoP0hX0W9pERERctWNUhT79u1T+A06ISGBy5irbO7cuVOuMgEbN24kADRkyBDu7VsoFNLhw4cVpeJXef36NaWmpipUZkUlevw8Nq5Hjx7VprL2nTt3ZKYAmTemesKMmUpKgVFy7tw56ty5M5mYmFDLli3J1NSUxo0bx73tE+V7Ft69e0eBgYEVolt2djYZGRnRjh07OGMmNjZWpo+1tTUNGzasTPIXLlzI3VSHDh1aIW9QIpFIZqpMEURFRVFkZKRCZZZEamqqQj1znz59ojNnzihMnjzs2bOnTAZNcHAwaWlpcZ6FgmDl3NxchRsXJfHmzRuFL/kvbcmCsiIQCKhDhw7cb09VuZiUhVQqZd6YagwzZiohBW8OSUlJVL9+fW4Oe9WqVVSzZk0yNTWlZs2a0ZYtW1SWG2LIkCE0f/58hU8zFRhHBZV9FZXTRB5EIhFXCqK8PHr0qMI8Gp+zfft2hdywCwoqVnSG27y8vBILdBaFRCKhvn37ctfNqlWrOFkFdXoqkvPnzyvMk1LW+ldl5fPK2jo6OpWiBlVFwzw3VRNmzFRipk2bRgMHDiSi/DdPdXV1unbtGl27do0MDAxIX1+fLCwsyNnZuUL1EggE1LBhQ9qwYQMXALx161auXSgUlikAWCAQUPv27bmbqTIDc4tCKpXSixcvyi0nISGBEhIS5DYqQkND6YcfflDYlNSZM2fKbdDExcXRjRs3FKJPaTl9+nSpvDP29vaFKmLn5eWVu+RCWZFKpRQeHq6QgGZVVLtftGgR930OGTKkWnszCgyXos4xJSWFBAKBymtwMeSDGTOVlJCQEOrTpw8XmNq3b18aO3Ysl/lz//79ZGhoSEZGRnTp0iWl6rJs2TLy8PCgDx8+kJeXF40cOZL09fW5KRQ7OzsyMDAgJycnCgwMpClTppRpafa6deu4m+j333+vkiJweXl55Z5uCgkJkesGmJeXR7a2tqStrU0AaNiwYQp5cERERJTr7TI2Nlbp19TXcHBwkGvKrLiK2BKJpELjlb7E09Oz3AUcN23apBJD4suYtRMnTlS4DsqkqN+GUCgkkUhErq6udPPmTZo3bx4NHz6cK4WgCqOSUTqYMVNJiY2NJRsbGwoKCqLnz59To0aNyM3NjQvKO3HiBP38889lqhxdWgryxmhqanIxO58/rAuS5hkbG5O2tjZZWFiUOn4nMDCQNDU1uZgHZeU0kQexWFzm8Z8+fSp34rFNmzYVSqanqBiVzZs3l+k4qVRKOTk5Kk9tn56e/lXvzJcVsefMmUNE+Ubi555CVeHo6FjmaVI/Pz+VekQ+r6xdp06dUk/9VXYyMzPp2bNndO/ePVqwYAGNGzeOGjduTDwej3g8Hrd6s0aNGsTj8RRaAoOhHJgxU0mRSqVc5dfbt29T7dq1Zd469+/fT3369KkWabi/rIi9Zs0aletTlqm7zMxMysrKknsVSHp6OpmamsoYM927d1fYQ+zLpajyEBcXR2fPnlXI+OXF3t6+xARuX1bETktLI4lEQi4uLhWoZfGIRKIyxx0pqn5XeZg6dSr3/U6cOFHV6igMOzs70tDQoJo1a3LGi6GhIU2dOpXmzJlD169fp6CgILp+/Tq1bt2aunXrVmGLKxhlhxkzlYTPK2J/manU19eXateuTb/99hs9fvyYrl27Ro0bNy6y7khlQ57yA3v27OFumm3btq0UGUiFQmGp38YCAgJK7Y6+fv06ASAej0eLFy9WaJ2i0lbnTkpKqhQP0c+5cOFCkdfDlxWxnZyciCjfEPX19a1oNYvF2dmZPn78WKpjNm/eXCniVBITE2UycKsqhkrRvH37lkaMGEG///47HTt2jPr370+DBg2S6ZOWlkZDhw6lWrVq0dOnT1WkKaM0MGOmkrF27Vri8Xi0d+9ebm5XIpHQsmXLSE1NjWrVqsWl5K7MZGZm0sKFC8nU1LTEpbGRkZFUo0YN7ob5+ZJzVSMWiyk6Olquvi9fvqRnz56VaZy///5baXPymzZtkruvUCgslC9I1URFRRUZO5WSkkIzZswgAFzRVZFIRFu2bKloFb+Kk5OT3Ev0o6OjVRIrVhxnzpyplpW1P4/ne/jwIWloaNDp06e5tt9++414PB7Z2toSEVvWXRVgxkwl48OHDzRhwgRq2bIlXb16VabN09OTtm3bRvfv36ekpCQVaSgf1tbW3E1w9uzZRfb5siL2b7/9VsFaloxQKKTz589/tZ9AICA+n1+uhG/KpKiCe18SHx9PR44cqQBtSs+OHTu4wPcvcXFxodjYWJJKpXKdpyrIzMyk7OxsuYKyT548WakemlKplIYPH879RufPn69qlRSOQCCgJUuWUL169YiI6NatW6ShoUETJkyo8NQEjLLDjBkVU9QN7sOHD/T9999T/fr1FbJUWBV8/PiR9PX1uZugm5tboT5fvvUpsiK2ohAIBLRv374S+/j5+dHDhw8rRqEy8LXYmczMTJXkxCkNd+/eLdFjIRKJ6P79+2WWn5eTR2mRaZSbqpwYtMuXL3/Vy7djx45KZcgU8GVl7crkPVUUHz58oHbt2tH3339PLVu2JDMzMwoLCyvUj+WgqbwwY0aFfH7junnzJnl7e3M1iNLT02nQoEHUqFEjpVSLrggOHjzI3QBbtmwp47lITEykunXrVon5+JJW9wQEBFRaj8DnlJRFNicnh96+fVuB2pSe169fk0gkKtL7JRaLy7ycXiwU0+szr+nypMt0ZtgZujDmAj3b/oxykhTvZbt7926x03jyrN5SJZ/HtSmzsvbnJRUKPkZGRlx7wcpJExMT0tHRIUtLSwoKClLI2Pfv3+cCgj8Pgk9PT6cJEyYore4WQzEwY6YSsHPnTuLxeGRhYUGDBg2iVatWUVhYGJ07d4769OlDo0aNUulS5bIikUiof//+3E1pxYoVXFtVWikhEAiKTAAoFospOzubUlJSlDKuUCikvXv3FjvFUhqKy7uSmJhY7urmFcWCBQuofv36haZiypNX58W+F3S8/3E6M+IMXZl6hS6MuUBH+xylu3/cpbwcxU4xxMXFkUAgKNL7smfPnkrplSmgolYcrl+/njp27EhxcXHc5/OK8HZ2dqSvr09Xr16lwMBALm1EeQq4SqVSysvLowULFpCWlpZMss709HRav349aWlpVUixUkbZYcZMJeDo0aPE4/GodevWtG3bNurYsSPVrVuXZsyYQR07diQej0eWlpaUnZ1dqW94RfH27VuZmjm+vr50584d7qZYu3btKpHDgs/n06lTp2T2+fj4KC3d/IsXL6hTp04EgNatW6cQmV/msBEIBFwNo8qOUCgkMzMz7ropqCItFovLXFE642MGnfvxHF0Ye4Fuzr3JfZxmONFx8+MU/kDxqfxPnz5daHWTg4NDlfhdf1lZWxkvWOvXr6cuXboU2VaQbfxzL5xAIChTtvEv8fT0JAMDA7KwsJCZXtq3bx9paGjQvHnzqkUajOqMGhgqZ/bs2bhw4QKkUilycnLw+vVrODg4oFatWujatSsA4PHjx9DU1ASPx1OtsqWkXbt2WLduHQBAIpHg119/xbx587j2Xbt2wcjISFXqyY2Ojg6GDRsGkUgEAPjw4QO0tLRgZWWl8LH27duH3r17IzAwEABga2uLoKCgcsudNm0a/vvvP25bKBRCIBCUW25FsHXrVu476Nq1KyZOnAiJRIK9e/di6tSpZZKZHJoMQboAevX1ZPZr6GhAKpEiOSS53Hp/yfTp0xEREYG0tDQAgEgkwujRo6vE77pjx45YvXo1gPzf8uzZsyGRSBQ+TlhYGExNTdG8eXNMnjwZHz58AABEREQgPj5e5jenra0NS0tLeHp6lmvMM2fOQCgU4vz582jVqhWkUik2b96MxYsXY8GCBTh06BB0dXVljlHGuTPKDjNmVEDBjyAnJ4fb98MPP2DatGlwcnLC3bt3MW7cOOzYsQM7d+7Emzdv8OLFC2hpaalK5XLx119/oVOnTgCAgIAAfPr0CQAwZMgQzJw5U5WqlQoDAwPs378fRAQDAwPUqVNHKeOYm5tDTe3/fpoikQjz588HEZVb9oIFC5CWlobk5GScP38evXv3LrdMZfP27VvY2NgAANTV1WFhYQGpVIqsrCzMnz+/zHLVNdXBU+OBJEV/r+pa6mWWXRImJibcb3nnzp1o0KCBUsZRBqtXr0b79u0BAD4+PtizZ49C5ffq1QunT5/GvXv3cOTIEcTHx6Nv375ISUlBfHw8ABR6+TEyMuLaysq2bdtw4MAB1K9fHyKRCGfOnMHhw4cxdepU2NnZQSqVIioqCgEBAThw4ACA/GuRUXngkSLukIxSk5GRgcmTJ6NLly6wtraGiYkJ9PT0sHTpUhw6dAhXrlzBjz/+qGo1FcbLly/Rp08fSKVSAPlvVMHBwWjRooWKNSsdAoEABw8eRLt27TBixAiljbN69WrY2toCALp06YJjx46he/fuCpG9d+9ejB49Gk2aNJExmiojUqkUFhYWePbsGQBgxYoVsLW1xfv37/HgwQP8/vvvZZYtyBDg1pxbEKQLULt5bW4/P40PQaoAQ7YOgWl30/KeQpEcP34cIpEIc+fOrRJemc/x9PREv379uG1jY2O5HuzGxsbw8fEp1Vg5OTlo2bIlVqxYgd69e6Nfv36IjY2FiYkJ12fOnDn4+PEjXFxcSiW7OLy8vDBt2jTUqlULN27cQGhoKBwdHZGeno47d+5AKBTi8uXL+PnnnxUyHkMxVO47WTXG09MT8fHxOHv2LMzMzPDDDz/gn3/+waxZszBjxgwsW7YMt2/fVrWaCqNLly6oXbs2t92qVStcuXIFQqGQe+u2sbFBbGwsjh07Bm9vb9y7dw9OTk4IDg7G3r17kZmZKdM3NTUV+/fvR0BAAG7evIk7d+7Az88Phw8fRlJSkkzf3Nxc7NixA6Ghobh06RLc3Nzg6emJkydP4uPHjzJ9JRIJbG1tERUVhTNnzuDp06fw8PCAo6Mj/Pz88ObNGwwYMEDmmPj4eBw5cgTe3t5wcXHBtWvXEBQUhH379iEjI0Omb3p6Ouzt7REYGIjr16/D2dkZvr6+cHBwQEJCAmxsbPDPP//AyMgIGzduxNSpU1GrVi1cvHgR7u7uePbsGU6fPo3o6Ghs3rwZUqkUNjY2nGs8Ojoap0+fxrNnz+Du7o6LFy8iLCwMO3bsAJ/PR0JCAnbs2IEtW7YgISEBDg4O8PX1hbOzM65fv47AwEDY29sjPT1dRu+MjAzs27cPQUFBuHbtGlxcXODt7c29QX/eVyAQYPv27QgLC4OjoyM8PDzw9OlTnDlzBlFRUbC1tYVEIpE55uPHjzh58iQ8PT3h5uaGS5cuYcOGDZwhY2hoiH///Rc2NjbYvHkzAMDPzw937tzBzZs3ERAQgP379yM1NVVGbmZmJvbu3Yvg4GA4OTnh3r178Pb2xrkr52AyygQ3I28iKTgJpz1OIz4kHld8rkD3e114hHjAw8MDT548wdmzZxEZGQk7OzuIxWIZ+Z8+fcKJEyfg5eUFV1dXXL58GSEhIdi1axeys7Nl+iYnJ+PQoUPo1q0boqKicPXqVfj7++PgwYNISUmR6ZuVlYXdu3cjODgYV69exf379/HixQscP34csbGxMn1FIhG2bt2KDx8+4Ny5c3j8+DEeP36Mc+fO4cOHD9i6dStEIlGh39rx48fx4sUL3L9/H1evXkVwcDB2796NrKwsmb4pKSk4ePAg/P39kZKSIvOiFR8fj5iYmK9+yuI9qVGjBjp16oSwsDAYGxtz431OYmKiwqaqnzx5gn79+uHDhw8wMzPDhAkTMHLkSOTm5gIAmjRpgu7du6NLly4KGY+hQFQbsvNtk5qaSm/fvqWTJ0+ShYUFtWjRgqsToq2tTb179y535d3Kwr///ssFb9avX79CCmQqg48fP9KrV6/ov//+U/pY8tZ4Kg0pKSl09OhRSkxMJKFQqHD5iiQ6OlqmIra7uzsR5QcDJyYm0q5duxSS1CzGO4YebXxETjOc6N6yexR2N4wkIuXmE7GxsaGXL19SWlqaUsdRFq9eveIKw+L/F6Ns2LBhiZ/u3buXehyBQEANGzakDRs2cAHAnxcRFQqFCgkALiA2NpZ4PB516NCBxowZQ3///Te3qmrz5s30448/0uXLlxUyFkOxMGOmAggNDS1yWeyXeHl50aVLl2jSpEmkpqZWqF5IVeXzVRBqamrk6upaJRNv+fn50Z07d4go/ybr6empYo1Kh1QqpZSUFOLz+SSVSsucm6UikEqlNHLkSO5haW1tTUT5S8y3bdtGRPkrzJS1LF6ZeHh4cKuXjh49SrGxsSrWqPTcuXOHrly5ovBVicuWLSMPDw/68OEDeXl50ciRI0lfX58rB2FnZ0cGBgbk5OREgYGBNGXKlHIvzf6SgIAAevv2rUyW9XXr1pGOjo5M3by8vDzKzs4mIuW8eDBKBzNmlExAQAAZGRlRo0aNaOTIkbRhwwY6fvw4xcTElFivxd/fv8SaRlUFsVhMvXv35m56q1evJiKi9+/f06VLl1Ssnfykp6dTfHw89xASi8VVrgBdamqqzDJmqVRKFy9eVKFGxRMdHc0VkjQ2NuYqYn95zRw+fLjKpZz/3JCXSqX04cOHKnUOBw4c4JJITpkyhfttT5o0qdyyC/LGaGpqkqmpKY0bN47evHnDtRckzTM2NiZtbW2ysLBQakXr9PR0WrFiBTVv3lymvMyFCxdo7ty5NGTIEKWNzSgdzJhRMn/++SfxeDwyNTWlzp07cxkm9fX1qW3btjRs2DDat28fHT16lD59+kRpaWnVysrfu3dvkZlDpVIp8fl8Sk5OVrGG8hEeHl6otEROTg7t2LFDJfqEhoaWqn9aWlqRdaZCQkIqbY6TpKQkmj59OvcQkUqlRZ734cOHq8xvxsbGplCCv6pQa62AhIQEmenJLzN537x5U4XaKZ5Lly7R8OHDacmSJbRnzx5asGABNW7cmLS0tKhLly7Ut2/fKulZq44wY0bJpKSk0KBBg0hHR4fu3LlDHz58oAMHDtCaNWuob9++ZGxsTDwejzQ0NKhmzZrUtGlT+vvvv1WttkKIioqSqYj96NEjmfYPHz6Uq55OReHv708uLi5FtolEIgoJCakwXQqqkfN4PG7KSx4EAkGRhqNUKi2x1EFlQSKR0ObNm4tsS05OVkiWZGXz5s2bYg3HkydPVonkkY6OjoVKe5w+fZr7jTdq1KhS1lgrCyEhIdzLp6amJrVq1YpMTExo4cKF5OzsXKG/e8bXYcaMEikojHfr1i3S19enXr16FQr469evH/Xu3Zs2btxIq1atou+//558fHxUoK1ikUqlNGLEiK9W2w0PD6/Utaf4fD5lZmYWGywrEAjo9u3bFaKLi4sLNW7cmPtOGzduLFesQFpaGh0+fLjYdqlUWmQh0MqCPPrt3Lmz0ntnnJycijVmCozNylzI8PTp00UGLEulUho2bBh3Xf7+++8Vr5ySaNCgAbVv3562bNlCjo6OMqUVCnjz5o3MgobK6ums7jBjpoKwtbUlHo9Hy5cv5/bduHGD1NTUKvWDpKycO3eOu7mZmJgUW6hRJBJRVlZWpS2yFxoaSg8ePCixT3Z2Nu3du1fpuhw7dqxQEb5FixaVeExWVpZcrv/KEP+TnZ1NixYtKuShkEgk9OzZs68ef/HixRIra6uSrVu3ftVQuXLlSpEPy8pAQbHV4h7UERERMpW1nzx5UsEaKgd5pv9OnDhBo0aN4lZUVdZrsLrDjBklU/Dj5/P5NGnSJOLxeHT8+HHKzs4mY2Nj+u2337gHeXX5ESQlJXHBm5CjInZoaGilnGt/8+aN3IZmXl6e0pfRS6VSGjRoEPe96urqfjVmJy8vjz58+CCX7E2bNilK1TKxZMkSAkCGhobctF5ppsHCwsIqpWcjLi5O7gDf4t7+Vc2xY8e+unJs9+7d3LXZrl07pVXWrkgKrqfPvX7R0dG0YcMGOnfuHMXHx1Nubi7Z2dlRvXr1uGDl6nIvr0owY6YCefXqFTVq1Ii6du1KP/zwA7Vq1YrCwxVfzE7VTJs2jbupTZgwQa5jIiMjycPDQ8mayY9IJKLc3Fy55/+zs7OLDLBVNO/fvyddXV0aNGgQvX//vsS+6enppfIYSaVSleX/efHiBampqREA0tHRoXfv3hFR/mrA0rjtbW1tK92D5OjRo3IbWampqZWuoOGNGzfkWln5ZWXttWvXVoB2FcuZM2dIXV2datWqRXp6etSzZ0+u4ObPP/9MAwcOVLGG3y7MmKlgXF1dqVatWqSpqVliHENV5e7du2XKPZGbm0uJiYmV5kEUHBxc6liezMxMOnr0qJI0+j+CgoK++oAXCoWlNg6lUildv369PKqVCaFQyFUIB8Dlv5FKpV/16hWFq6urzPeTJ86jhxEPyf6FPR3zO0Zvk94qTPevsXfv3lJ7i06cOFFpvDNisZiio6PlPofAwEBSV1fnKmtX1eSYRZGSkkJNmzal4cOH06tXr+jevXs0adIkatWqFRHl5w9q1aoVPX/+XMWafpswY6aCyc7Opvnz5xOPx6sSq0hKQ1ZWFjVp0oR7KB0/frxUxwcHB8vkclAVHz58KHMMSWZmJpdIS5Xw+Xx69epVqY+TSqW0ZcsWxStUAjY2Ntw1061bNxKJRCSVSsnW1rZM8l68eMEZxSKJiOye2JHlCUvqe7Qv9T3al0aeH0kPwkuOg1IE2dnZZU7mdvv27UqRHfjgwYOlTp/wzz//cP/Pnj17VpoXlPLy+vVrMjIyot27d3P7wsLCqEmTJrRx40ZKT08nIyMjuRKkMhQPM2ZUxLhx40hNTa1KJY77Gn/88Qd3Exs8eHCZovo/ffpEfn5+StBOPqRSKeXk5JQ5/iUzM5McHBwUrFXpdfj8hltaRCIRffr0SYEaFc/bt29JS0uLe5P39fUlovzroDyrkzZv3kxisZi8PnrRwJMDaeKliTT35lyac2MODTo5iP539X+Uk1eOoHMxnyjOlShgI5HfCqIwB6JM2Wm/3bt3l/lBHhUVpfJEeo8fPy42cL8kBAIBtWvXjrsXfJ41tyqTnZ1NTZo0IVtbW5lUAO7u7sTj8cjc3JxMTExkkmsyKg5WaLKCkUgkAIDFixeDiODm5qZijRSDl5cX9u7dCwDQ0dGBg4NDmaoB16hRAwYGBopWT25CQkLg4uLCFbUrLfr6+pg8eTKuXLmiYM3kQywWIyIiAn/++WeZZairq+PevXsK1KpopFIp5syZg7y8PADAsmXL8N1334GIcP/+fWhoaJRZ9urVqxEYGIiw1DDkSfJQW6c2AIDH48FU3xQJ2QmIzogum/C8DCBgHRC4EYh/AKT6AB9OAH5L8rcBnD59GgsXLpSrmnRRNGnSBMeOHUNKSkrZdFQAtWvXhp6eXqmP09bWxtGjR7nt1atXIyIiQpGqqYQaNWpg7dq12LNnD06dOoXw8HBIJBIEBwejVq1aSE5Oxq5du2BkZFTlKqFXB5gxU8EU3NzMzc3h5OTEVf+tyuTl5cHa2prbtrGxQYsWLcokq3bt2uDz+bh27Zqi1JObhIQECIVCjBs3rlxyatasid69e3OGa0Vx8+ZNdOjQAW/evCmXHB6Ph19//RV79uxRkGZF4+DggKdPnwIAWrZsifXr14OIsGfPHvz666/llh8bGws99fyHsUT6f/8LvogPbQ1t1NKuVTbBEaeBpKdAjWaAQTtAvxVgYAZIBECoPSSZERg0aFCZDZkC5s+fjzdv3oDP55dLTlk4dOgQTExMoKmpWabj+/XrhwULFgAA+Hw+5s+fDyJSpIoqYc6cOVi5ciV8fX3Rv39/NG/eHIsWLUKPHj2wevVq/PTTT1zfT58+cfcAqVSqKpW/GXhUHa6wSgIRFWmRf7m/uH5VlY0bN2L9+vUAgO7du8PLy6tcb9UAkJycjIyMDLRs2VIRKspFamoqUlNT0apVq3LLyszMxJkzZ7gbujJJSEjAH3/8gUuXLgEARowYgTt37pT7GsvOzgYRQV9fXxFqypCUlISWLVsiKysLAODu7o6BAwciKysLPB4PNWvWVMg46zatQ1i7MHzM+giTmiYQSURIzE3EqDaj8Lf536UXmJcGeM0GSAzomsi2EQEZb7DVrRGWbzlfbmMGAAIDA9GqVSvo6uqWW5a8BAUFoXnz5qhRo0a55GRmZqJjx4749OkTAODUqVOYMWOGIlRUOba2trC1tUXjxo0xevRozJw5E+3atQMAZGRkwNvbG1u3bkXjxo1x/PhxFWv7bcA8MwqgwOrm8XhISkrCzZs38fDhQ8TFxYHP5xd6qFQnQyY4OBibNm0CAKipqeHYsWPlNmQAQCQS/T/2zjo6iuuL49/dTbJx9wIJ7sWdIqVAC4VSoKUUKe0P1+BFWqBFAhQPTnCHoMUJHiAEAsTd3W19d+7vj22mLLFNspsEms85e3J25s2dO5uZN/e9dwUCgaDSctQlNDQUnp6eGjFkAMDU1BTjx4/HvXv3NCKvNNauXcsaMgBw48YNnDp1qtJyjYyMtNYRW1tbY+/evbC2tsb//vc/9O3bF0QEd3d3jRkyALBi6QpMbDwRnT/pDJFcBHCAkS1GYkbnChqZolRAlgfomRfdx+Hguk8eFvzYSiOGDAC0bt0aBw8eRFZWlkbkqUNOTo5G5JiammL37t3sdxcXF6SlpWlEdnVjaWmJNm3aYNWqVVizZg2aNWsGIkJYWBh2796NWbNmwdPTE46OjuwyalXP1P7nqB5XnY+LQmev9evXU6tWrYjP5xOHw6HGjRvTkiVLqqTmSkJCAo0ZM4YsLS3JwMCA2rRpo1IWobDarIODA+nr61Pv3r0pICCgUudUKBTUrVs31tFP0zWl/Pz8qiRUOCcnh81roknkcnmVhKZmZ2eTvb29SmbgH3/8USOyGYYhd3d3jcgqjvT0dMrOztbqeQ4fPkxyuZxS8lMoW5RdOWEFsUT3viJ6/D2R9+Qinze72hKFaD4b9Js3b6qkXMPevXspNTVVozJ/+OEH9r784YcfNCq7Onm3wGRmZiZdvXqV+vXrRxwOh5o3b07t2rWjr7/+mqZNm8a2q4lJHT8Wao2ZSlIYrXD79m0yMDCg33//na5du0ZBQUFkZmZGffv2VSvhVGXIysoiJycnmjBhAnl7e1N0dDTdvXtXJamaq6srmZiYkIeHB/n7+9OoUaPIwcGhwqGjREQ7duwotiK2pmAYhvLz87VuDCYnJ7NRNJomJyeHduzYoRXZhRQUFNCUKVPY7LlHjx7VaDRFYmKi1l+kMpmMEhMTtSZ/8+bNmnmRMAyR70KiWz2Ink9SMWTWTfmUZLf6EGW8qPx53uPRo0eVelbVIS4ursQaZJUhNTWVLC0t2b6iJtdiKy8ymYzevn1LS5cuJTMzM2rQoAEdOXKEoqOjSaFQ0I0bN6hDhw40YsSI6lb1o6fWmNEQHTt2pBkzZrAZYwMDA4nH47Gh13///TeFh4dr5dyLFy+mnj17lrifYRiyt7dnk5ERKcMnzczM2Hoi5SU2NpaMjY1LrIitKcLDw+n58+dakU1EFBYWpvXweIFAUKGcL+qSm5tLBQUFtG3bNo2PqomUo8l3753KUNzvUJmcMupSUFCguWrO2X5ED4cT3epO9GgE0ZPR5L2zC8lv9CAKWEOk0E5elZ07d2o198z169fLLFlQUY4cOfJRVtYOCAig+vXrE5/PpylTprClQwoHExKJhHbv3k3ffvsticXi2pkZLVJrzGiAsLAwatq0qco0ecuWLWnUqFFEpEwmN2zYMFq+fLlWRj7NmzcnFxcXGjlyJNnY2FDbtm1Vcp1ERkYSgCL5W4YOHUrjx48v9/kYhqFBgwaxndOUKVMqfQ2l4e/vT9evX9e4XJFIRMnJyVrvYEQiET169EgrsgUCAe3fv18rst9FoVBUKBvvu9y+fZsA0KhRo1iji2EYunjxogY0LJuKZOMtkewAoje/Ed3/mujeQLq7tR8xUceJ5OKyj60gCoWCYmNjtZLD5MiRI1qdAWUYhgYMGMD2GTNmzNDauaqab775hs6fP1/teYH+69QaMxogMzOTjIyM2FT2q1evJisrK9ZKDwwMpC5dutDOnTu1cn4+n098Pp+WLFlCvr6+tGfPHtLX16cjR44QEZGXlxcBKDKNP2nSJBowYEC5z3fy5Em2U3J0dKxQYq3yIJPJSCQSaXw0FxcXV2UVy7OyssjNzU2jMgUCAR07dkyjMkujvHWS3qWgoIDq16/P3jeFBlhV14Pav3+/5owBhiESpZLrH7+STJyvGZllcOnSJbWet5zYHIryjKKUt2UncCusB6XtRG/vV9auCZXaNUFJRkx4eDhduHCBpk+fTpMnTyZ3d3eKjY0lolrfGW1Qa8xUgOIe+s8//5zatWtHV65cIR0dHTp8+DARKWsOubi4sPU7tIGuri5169ZNZdusWbOoa9euRPSvMfOuwxoR0cSJE2ngwIHlOtf7FbGrqpaPn5+fRpeyIiIi6MKFCxqTpw5SqVSjqc6Lq9Sd8jaFXux8QS/3vqTs6GyNnYtI2QFXtATHvHnz2Humd+/epFAoqqVSd3kqWKtDdVTq3rdvX6kGTdKrJDoz4gy593SnowOOkt+J0o3F8+fPa73ieyFbtmxRqaz9bibdj4HCe8Hb25vGjh1LxsbG5OzsTC1atCBra2vq3r07627wsZR5qCnUGjMVoPAmPHHiBLt8cPz4cTIzMyNdXV1q3749ZWVlkUAgoM2bN5OZmZlWnd7q1atH//vf/1S27dq1ixwdHYlIs8tM48aNYzujkSNHVk7xchIYGEj379+vtBy5XE55eXlVXp04NzeXrl27phFZQqGQtm3bprItNSCVTn1zig50O0D7u+4njzEelJeUR4mJieTi4qKRF4dCoaCnT5+W65gXL16wFbH5fD6FhoYSEVXLyDwtjWjMGFeaNYuh8eOJpk4lOniQqKI25rlz56okyuhdBAJBqb4zd369Q+493enypMt0fNBxOjXsFIlyinfO9/DwqDJDhkj57HXu3JntQ3777bcqO3dVkZ+fT926dSM9PT3icDgUEhJCREon7q+++oo6duxYzRp+nNTmmSkHYWFhCA4OBo/HQ1JSEiZMmMDmTRgzZgx27doFU1NThIWFoUuXLmjUqBEOHjyI+fPn4+uvv9aaXj169EBoaGgRXZ2cnAAA9evXh729Pe7cucPul0qlePjwIbp37672eW7evIljx44BAMzMzLBjxw4NaK8+9evXR6dOndi8DRUlISEB9+/fr9JEZIAy70aXLl1UUr1XBKlUirt372L27Nkq2xO9EyFIE8CmlQ1sWtogOzob29ZtQ4sWLbB161a4urpW6ryAMkeSWCxWu71MJsPEiRPZXEwrV65EkyZNQESV/j+WByLg6lVgyhQgJmYx7t+/iPR0QmQkcOAAMGMGsHcvIJOpL3PLli345ptvNJJXqTwYGhri8uXLyMvLK3a/QqoAV4cLDocDnh4PpCAw8qIZaCUSCfr06QNbW1ttq8zC4/Fw4MABNg/P2rVr4e/vX2XnrwrOnDmDiIgIXL16Ff369WMTZ3bv3h2urq6IjY3FuXPnqlnLj5DqtqY+FDIyMmjSpEnUqVMnOnnyJHXs2JGGDx9OYrFYZWSWk5NDa9asoRUrVtDKlSspLi5O62vRL168IB0dHVqzZg2Fh4fTiRMnyNDQkI4fP862cXV1JTMzM7pw4QL5+/vT6NGjyxWanZ+fT05OTuyISpu5R0rj1atXdOfOnQofHxsbqxVn4vIgEonKXYn4XeRyOTvae5e3x9/Sge4H6OLPF8ljrAd97vC5Su4ZXV1dCgwMrIzq7PnXrFmjVts1a9aw52/bti27xPP+8hKjYCjFL4XeHHlD3ju86dnWZ/Rq/yuKeRhDMnHlZz6uXCH64guigQOJJk4k+u67IJo0iaHJk4kmTSIaNozos8+IduxQusKURXp6erUvkZw4caLY5zfyTiQd//I4ufdwp0O9DtHTzU+L7YOOHTum1XD40li+fDl7X3Tp0uWjWnKZN28etWrVioiIfH19ic/ns/6LiYmJ1LBhw2rrPz9mao2ZcnDmzBmytLQkY2Nj0tPTUzEWZDJZiZFKVVFB9erVq2zCvmbNmhWp3FyYNM/e3p74fD716tWL/P391ZY/Z84ctvP5/PPPq7UqbFhYGPn4+JT7OIZhKm1IaIKMjAw6ffp0hY4ViUS0cePGYvcVpBbQlUlXyL2nOx3sdZB2jd9FPB5PxaAZMmRIZVRnUSgUxRpU7xISEkJ8Pp8AEJfLZZM4hoSEsPePXCKn8JvhdNPlJh3tf5Tcu7uTew93cu/pzr6ML4y/QP6n/EmQUbEq12lpRN9+qzRkJk/+99Ox45+sQTN5MtGIEUT9+xOpU7R9//791R69kpqaWmyfwzAMJfok0tvjbyn8ZjjJpUUNhbt372oljF9d3q+sXZkq7zWN3377jb755hvW0Fy1ahWZmZkREdHLly+Jw+FU+PmvpWRqazOVk+joaDRs2BBcLhdNmzbF5MmTMXr0aHaqVi6Xg2EYPH78GP369atmbTWDt7c3unbtCkBZETsgIKBKaya9T05ODmQyGaytrctVGiImJgbPnz/HDz/8oEXt1CMjIwOenp4YNWqU2scwDIOnT5+iZ8+eJbYR54iR8iYFXB0uHDo44LdVv2H9+vUAgHHjxmHz5s2wtrautP4Mw+DChQsYOXJkifv79OmDx48fAwAWLFiAjRs3AgDOnTuH7777DpJ8CZ5vfo7oe9EAFzB2MIaesZ7K/1QulqMgpQDSAilsW9ii55KesGhgUS5dPTyALVuAZs2A96sMJCc/goNDL/Z7YCAwbBiwYEHJ8vbv34+ffvoJenp65dJDG+zatQvjxo0rV/0sIkJcXBwcHByq9RqePHmCzz77DABgYGCAoKAgODs7V5s+muLcuXOYMWMGrl+/jo4dOyI/Px+9e/eGrq4udHV1IRKJ4OnpCXNz8+pW9aOi1memHBSu8U+ePBknT56ERCLBokWLMGvWLNYfRUdHB8eOHcP48eORm5tbneqWSW5uLmJiYkpt835F7D///LNaDRlAWVk7JiZGxQeoLNLS0hAbG1sjDBkAsLKywoABA8rlfyKXy8us+aNvrg/nPs6o17MedA10sWLFCnzxxRe4ceMGjh49qhFDBlDW4fr222/x119/Fbs/Pz+frbHUoEEDrFq1CgCwYcMGfPfdd5CJZHji+gQRtyJgUscEVk2swDfhFzFOdfR1YO5sDqumVkgPSceDlQ+QG1e+5+rJE4DPL2rIFPLueM7KCnj6FCipULVYLMaIESNqhCEDANOnT8fDhw/LVVn7yJEj4PF41X4NPXv2xPTp0wF8XJW1v/vuOzRt2hR//PEHEhISYGJigm3btsHHxwcvXrzAwoULWUMmNzeXrdlUW7upctTOzKgJFVPpmmEYzJkzB7t374azszNGjhyJhg0bYvny5Zg3bx4WL15cTdqWzeXLlzF9+nTUrVsXXl5eJb4k//zzT/z+++8ANFcRW1PExcVBJBKhadOmZbYVCoVIT09nnaJrAunp6bh27RomTJhQZluJRIIdO3ZgQWlTBtWAVCpFTk5OsU6kRITTp0/DwcEBffr0QVpaGszNzaGnp4eXe17C77gfzOubQ9dQV61zMQoGGcEZcGjvgIGbB4Knq14xx59/BlJTgbp1i9/v67sG7dotBYfDQXa20pA5fFhp2LzPtm3bMG3atGo3BN4lIiICzs7Oaj2Xr169Qv369WFpaamecJkM0NEBtFQc9/3K2kePHsW4ceO0cq6qJC4uDgMGDMDnn3+O2bNno1mzZjh+/Dh69uzJzj49ePAAW7Zsgb29Pfbu3Vu9Cn8E1M7MlEGhrVdoyAQFBSErKwtpaWngcrnYsWMHHjx4AHNzc2zYsAFLlixBjx49arQhI5PJ8OuvvyIpKQne3t5wc3Mrtl1wcLBKRewDBw7UGEMGAHR1dcHn88tsFxcXh/Pnz9coQwYAbGxsMGTIENy4caPUdkSEyMhIzJ8/v4o0Kx0Fo4Bfqh+exD1BsiAZV65cKbYdh8PB6NGj0adPHwDAxYsXoaenB2GmEJG3I6Fvqa+2IQMAXB4XFg0tkBaQhqSXSWofZ2hYepRSu3ZLkZMTDEDZjscD9PWLtjt37hymTp1aowwZAGjUqBHc3NxQUFBQZlt1nxlERQErVwI//ABMnQrcvq0MCdMw71fWnjNnzkdRWbtevXrYvHkzeDwebt26BYVCgbFjx8LZ2Rnx8fHYuHEjXFxc4OnpicTERPa4wqi/WspPrTGjJidOnMCXX36Jjh07omXLlpg+fTqOHTsGgUCAnj174uXLl7h06RJu3LiBw4cPV7e6paKrq4v9+/ez35ctW1ZkuYlhGEycOBGyf94CixYtQtu2batQy7JxcHBAampqqctNeXl5SE9Px/jx46tQM/UxNzdHixYtSu3EpFIpoqKiyuUfVC4ePVJOXyxfDmRnl9o0LjcOc2/Nxbxb8/Dr3V8x48YMCFoIsMNNGaZf0kSvm5sbpkyZopTxOA6CNAF0LE2RLdRDnlgPcka9a9M10AXJCZG3I9W+vM6dAaGw5HexckYmGESEzEygTRulAfQuDMOgQ4cO6hkC1YCLiwtev34NuVxeYpsjR47A3NwcRkZGpQvLywP+/FNpwMjlQHg4sGmTcv1NC3z99des71h2djZcXFy0cp6qZtCgQfj9998xdepUdub75s2bcHFxweLFi5GUlIQmTZrAwsKC9Sfjcrm1Bk0FqTVmSkGhUIDD4eDevXuYM2cOOBwOFixYgO+++w43b97EzJkz4ebmhvz8fADA0KFD0alTJ5iamlaz5mXTs2dPTJs2DQAgEAiKrFfv3r0bT//pvBo3bswuNdU0unTpgrZt26qMbt6FYZga+wIClHk3DAwMcPDgwWL3S6VS7Nq1Syt5ihiGwd27d5WJVsLCgHv3gPv3S2wvZ+TY6LURr5Jewc7IDs2tm0OXqwuPUA+YdDBBYmIiOnfujL///lvlOJFIhLFjx/5zToLnyVTcS2uJrY/aY/vDttj6oC12PvoUjyMdkS0s+39laGeIJJ8k5CUUn2flffr2BSwslEtNJdGgwQi8eLEeXC5hwICiqyqbN2/GJ598otb5qgt9ff0SjZmIiAiMGDEC9erVK1uQjw8QGan0mLa3Bxo3Vq69lcNHrbxs376dXfo6deoUrl27prVzvcu6devA4XBUDCgiwsqVK+Ho6AgDAwP06dMHgYGBFZJvY2MDPp+PiIgI/PHHH5gyZQquXr2K+fPnIyYmBo8ePcIPP/yAEydOsP5DWhu0fOTUGjOlUGhNT58+HSNHjsSpU6fwxx9/YPv27YiKikKXLl3w+++/48mTJ9WsacVwdXVlO+hbt27hxIkTAID4+HiVZbL9+/dXeYK58pCbm1tsArGEhARcunQJrVq1qgat1MfW1hYjR46Et7d3kX1ZWVmYOXOmxs8ZEhKC3r17o3///rgpFiunLYyNi3cU+Qf/VH8EpQehgUUDGOsZg8vhwtbIFgY6BriXdA/Dhw/Hy5cvMWTIEGzdupU9bteuXTA3N4dMBrhtY7DvQRP4ZDaAXMGFga4cfJ4cmQJ9/B3gjD1erRCQVLIOAKBvpg9pgRSCNIFa11qvnjJCKTsbyMgovk1BAaCvPx8dO6ahc2fVfffv38esWbNqtFEMAJ06dcKuXbsgEBT9XdLS0iCRSNQTJJEADKPqMa2jAxQjV1PY2tpi8+bN7PepU6eyg0Rt4ePjg3379uHTTz9V2b5hwwZs3rwZbm5u8PHxgb29Pfr3719hfYKCgjB69GisXr0atra28PLywsaNG2FoaAhjY2MMGjQI8+bNw8WLFxEZGVlrzFSQWmOmDO7fvw+hUIjhw4ezHugymQy2trY4ffo0GjZsiO3bt1evkhXk/fVqFxcXpKWlYdq0aWyHOGnSJPTu3bu6VFSLRo0aIS8vD56enuw2sVgMkUiEn376qRo1Ux99fX3ov+eoIZVKcfPmTejqqu9Xog5bt25FmzZtWCN86vPnKJg2DVi6FOjVq8TjcsQ5ECvEMNBRNWwNdQ0R6RuJFy9eAFDeV9999x0A4NixY5g/fz4YBtizBzhzFuDzZKhjmgdLQwmM9OQw5sthZyJCHfMCCCS6uODXEEEpJYdfc3gckIIgE6mfrnfCBGD0aKXREhgIJCcDWVlAWhoQHAwkJQEDB+qiXr0r0NFRXY8yNjaucX4yJTF37lzExMSozLKePHkSjo6OsCrFUFXh008Ba2sgOhqQSoHMTKUzUbduWtJayfjx49G/f38AyoHI0qVLtXaugoICjBkzBvv374eFxb/3GhFh69atWLZsGYYPH45WrVrhyJEjEAqFOHnyZIXO1aJFC8jlcvz666/w8fFBp06dwDAMu4TP4XCQm5sLqVSKzMxMjVzff5FaY6YMbG1tkZiYiPT0dADKF0zhy8XS0hItW7aESCSCRCL5IMMKhwwZwq5XZ2ZmYvjw4ewUr4ODAzZs2FCd6qlNx44d0aVLF2T/4/NRUFCA1NTUD2aUo6+vDzs7O9aXSSqVwt3dXa1Ip/JiZGSkUkogNj4ey1+9Avr0KTVqxcncCWZ8M2SJslS2p+WkIfDgv9PwhTN+DMOweUR8fYErV5SrFqZ8KYo7C5cD2JsIIZFxcTPICRJ58dFKpCBweBzo6KvvjK6jo/Rj3bgRGDEC0NVVTkAAwOefA2vWKF2GZs+ehB07drDP8l9//YXWrVt/MPcRh8NBQkICG/KfmpqK4cOHl8/5vU4dZX0HS0sgJkbpcDR0KDBokHaU/gcOh4O9e/fC8B+HJTc3N3apW9PMmDEDgwcPxhdffKGyPTo6GikpKRgwYAC7jc/no3fv3pXS5fnz5/jjjz8AKJ9tLpcLXV1dyOVy3Lt3D8eOHUPTpk3VisyspXhqjZlSYBgGJiYmsLa2xokTJ0BE0NPTYx20xGIxO6Lm84vmyPhQ2LZtGzs68fLyYrfv3Lnzg0nsxOPxEBkZiZiYGCQmJuL69eulJperidjb2+PHH39EaGgo5HI5fvzxR62cZ+LEiWyEEaCseaWOT0598/ro69wXKYIUxOXGIUOYgZDMECRfTUZuijL3y2effcbmV3J1dWXDUO/eBcRiwMqGCx0DHShkxefU4HAAG2MR0goMEZJqXmwbSZ4Euoa6MLIpw5G1GNmfNi/A3GkZOHmCcOQIcOKEMmine3elgQMAEyZMgEgkgp+fH+bMmVNkxqymM3DgQOzduxdCoRB+fn7IyMgof9/Uvz+wfz+weTOwa5cyi2AV/A7169dnIygB5b2q9vKYmpw+fRq+vr5Yt25dkX0pKSkAADs7O5XtdnZ27L6KwOfzwTAM5HI5O8uXkJCAPXv2YPr06QgPD8ecOXNgZmZW4XP816k1ZkqBy+WiXr16+O2333Dnzh1069YN9+7dA5fLRVpaGi5duoRz585h1qxZ1a1qpbCzs8OWLVtUtg0dOhTffvttNWlUMdq0aQOJRIKXL19qzRDQNgqFAsnJyXB3d9dax8bhcLBv3z4YGRlhwYIF8Pf3LzJCLem4WV1mYXKHybA0sISckcMxzxGxN2MBKDvsAwcOYP78+VizZg2WLFkCQLlK8eyZcuWCw+HAtK4ZSM6UOJOp+08FhpJ8ZwSpAjh0cIBp3XI42ivEQNhu4PlPwPOfwQ9eBAteeJGoJUC5TLZnzx4kJyd/sAOUmTNn4tSpU2jcuDHq1KlTMSFmZkC7doCzs9byzBTHnDlz0KlTJwDK9BA2NjaoU6dOmZ+OHTuWKTs+Ph5z5szB8ePHSzVS3/+/F5dnrLxwuVzo6OhAKpXC09MT8+bNw+zZs2FmZobnz5+XKxt4LUWpNWbeoaTOddSoUVi8eDESExPxxRdfoEOHDujSpQsWLlyIX375BYMHD65iTTXP+yOR7t27Y8OGDZBIJFi9ejUAYPXq1UhKSoK7uzt8fHxw69YtXLhwAUFBQdi+fTvy8vJU2mZlZWHnzp3w8/PDlStXcO3aNfj6+mLv3r1IT09XaSsUCrFp0yaEhobi7Nmz8PT0xNOnT3H48GHEx8ertFUoFFi3bh1iY2Nx7NgxPHnyBA8ePMDp06chkUhw/vz5IrqkpKRg//798PHxwc2bN3Hx4kUEBARgx44dyM3NVWmbk5MDNzc3+Pv749KlS7h+/TpevXqFffv2ITU1VaWtSCTCpk2bEB4ejjNnzuDevXvw8vLC0aNHERcXhzVr1oBhGKxevRoMw2DNmjWIi4vD0aNH4eXlhXv37uHMmTMIDw/Hpk2bACiXNoyNjbF69WqkpqZi3759ePXqFa5fv45Lly7B398fbm5uyMnJwYoVq3H7NtCr12r89FMuvvxyB9zdA3D27EXcvHkTPj4+2L9/P1JSUlT0rlu3LhYsWIDJkyfj6tWrePDgAZ48eYJjx44hNjYW69atg0KhUDkmPj4ep4+fRiNBI4w3GY8h0iF4ves1O1P52WefoUmTJnB1dYWFri72bdgA31evcOHCNcTGXoFM5ofAwJ3QtZAiXrwXcrEckRk7IFfkIzbrEAok4UjNv4mMgodQMC/hn3QZmYJMnPE9AwA443sGIoEINxJuQLeVLk6fPo0HDx7g8ePHOH78OGJiYuDq6gq5XK6id0JCAg5tnILnN/bgzotEnHuUjpBXd7Hltx9RkJ2s0jYjIwN79uxBYmIi/v77b9y4cQNv3rzB7t27kZmZqdI2Pz8fW7duRVBQEDw8PHD79m14e3vj4MGDSEpKUmkrk8mwfv16REVF4cSJE3j06BEePXqEEydOICoqCuvXr4dMJivyrB08eBDe3t64ffs2PDw8EBQUhK1btyI/P1+lbWZmJnbv3o03b97g6tWruHDhAusAn5GRodK2oKAAW7ZsQUhICM6dO4c7d+7g+fPnOHToEBISElTayuVyuLq6IiYmBsePH8fjx4/x4MEDnDp1CpGRkVrpI96+fYuBAweyfVF+fj4SExPL/Kgzc/Lq1SukpaWhQ4cO0NHRgY6ODh4+fIjt27dDR0eH7Qffl5WWllakj6wIQqEQa9euxU8//YSrV69i06ZN8Pb2RtOmTZGamgp/f3/4+voiOTmZPaY2VFs9ajMAF8PDhw8RGxsLiUSCgQMHsuGMN27cwOPHjxESEgIul4vx48dj0KBBNSqRXEUoKChAq1atEBurHGGPHz8eW7ZsUT9LaA0hOTkZjx49Qr169cDlctGlS5fqVqncKBQKJCUlwdbWFpmZmXB0dCyxbW6u0tfj+XOAywUMDJTuDQDQuzeweDFQVkqRkhCkCRD3JA7SAilsWtjAob0DOFzVkem6detYJ802bdrAx8cHurq6+HPyZCxOS8OW0FAsXrUKkR2+x7RpgK3tv/qkBaQiKzIbfFM+uLyiY6q0AgPYGgsxo5c/u40YQkZwBmxb2eLLbV9Ch6/mc6cQA0/HAwohYPhPeDUjA/IjgE//AOz6qDSPi4uDo6MjkpOT4ejoWGYJiZrI1atX0bJlS9y5cwc//fTTB7dUFhkZia5duyLjn/AzXV3dYrNMv4u9vT1evnxZapv8/Hy2nyvk559/RrNmzbB48WK0bNkSjo6OmDt3LhYtWgRA6eNia2uL9evXs7mSKsP333+PmJgY/P333+w1HT9+HMePH8eLFy9QUFAAGxsbjB49GsuXL4e5uTkUCsUHeR9WJR/2W1iDFN4sR48exZIlS5Camgo+nw9jY2O4uLhgyZIl+Oqrr9CvX78PJrJBXX777Tf2Ae/bty9+++23D67zIyKYmJhg0KBBMDExwZs3b/Dy5Uu1pp5rCjKZDFu2bMGiRYuQlpYGPz+/Uo0Zd3dl3aFGjZSGTCEFBYCnpzJ9/6RJ5dcjKzILD35/gJzYHADKRHUtR7VE+4nt2TYCgYANpS3MDq2rqwsfHx8sd3QEJyAA8+3t4evujoYDvoOxMQd5ef8aM1ZNrSEtkKEgpQB8Uz1wdVQ7aomMBxvjf+tWMXIGmWGZMKtnhh6LeqhvyAAAI1V+uO9EhXF4AAhQFK1p5O3tja+//hp169bF2rVrtRpVow1u376NNm3aoF69evjxxx9LTaRXEyEimJub4/nz5xg8eDBCQ0Mhk8mwaNEizJ49u1KyTUxMiqRqMDIygpWVFbvdxcUFa9euRePGjdG4cWOsXbsWhoaGGlu6PnHiBBtEolAocOTIEbaO0/Tp0/Hzzz/j2LFjePToEcaNG4erV6/WGjJqULvM9A88Hg95eXlYtGgRxo4di5cvX8LNzQ1t2rTBsmXL0LlzZ7x8+ZI1ZGSl5Uf/gPD29mZzgvD5fOzbtw+NGjXCmTNnSkxEVxNJTU3FlStX2OrBDRo0QPPmzT+YjpxhGNy5c4cdDdra2qJ169Y4ffp0se1TU4EHDwA7O1VDBlCmi7GwUCZwLSb9TpkEnQ1CckQyrJpZwaalDXQMdRByKYQ1bgAgn/Kx9NhStOreCmMmjWGNxqysLHAaNAB0dcGRSJBhYwMzcw769lX6zhTOA/N0ebBvZw8TRxNIC2SQ5InByJVOwRI5F1wu4dNPMqCQKpAbl4uM4AxYNbJC7997l7tqNnRMAIu2gDgVUEgAYgBBHCSwxM3nreHhAcTHK5vu3r0bgwcPZvMqLV26tEgSwJqMTCZDhw4dYG9vD0D58j527Fi5CppWN69evYKPjw8aNmyokql8yZIlRWZVtMGiRYvg4uKC6dOno2PHjkhMTMTt27fLVZm8NN6dyc/OzsaaNWtgZmaGhg0bQigUol27dti0aRP++usvPHz4EGfPngVQu9xUFrXLTO/w+PFjrF+/Hrt27WKXlqKionDkyBEcOnQIGRkZmDp1qkpypw8ZqVSKDh06ICAgAACwfv169mUKAK9fv0aTJk3KTn9ezWRkZODZs2cYMmSIyvZHjx5BR0cH3bt3rybN1EehUCAwMFAlgRcRQSQSQSaTFXEGfv4cWLQIaNKk+GrQEgkQFwds3apMG6IuEokE4zuNx/WQ69j23TbYGNuAiJARlIF+a/vBqZcTMoWZWHRnEYIzlCUALPmW+L3v7/A86oklS5aAI5crw5ckEkh79sT2w4cxaNACLFigDJF2cPj3fIyCQV58LnLj8yDJFUMhJ6SIzeFomIsf6z+Frg5gWscUDQc0RKOvGsHYzrh4xRkFIIwFFFLAqC6g8949K4gHAlYD+aEAI4cY1th7dyLOPf0aRMrEegsX5qJZM102NLiQ169fo127dur/iNXI+fPn0aZNGzRu3Fhl+4kTJzBy5Mgan/gvJSUFAoEADRs2ZLdNmzYNe/bsAaCM1Lpx48YH65j9PufPn8fUqVMRFhaG+Ph4tG/fHleuXMHgwYORm5uLcePGwcLCAocPH/5orllb/OdnZt615Ro0aICCggL2gWcYBg0aNMCqVauwb98+DBo0CFu3bsWZM2eqS12NsmHDBtaQadeuHebNm6eyn4g+iBkoU1NTNvrhXXr16gVzc3MEBwdXg1bqI5fLsWHDhiKZSDkcDrKyslSSAf67T/kpaSjCMMr93FKecIVMgfSgdGSGZYIYwrNnz9C+fXuc9T+LAlkBdj3epTSoskTQM9aDsYPSkHiR+AJhmWFobt0crW1bI1eWizNPzuDXX39Vdri6usBXXwHDhkHP2hpz586FgUEMxo1TLoElJCj1A5TFI82dLVCvRz3YtKuDArNP8ImTDv43qgBtx7REr996Ycj+IWg7oW3JhowsHwj4A3gxDXg5E3jlAuSFq7Yxqgt03Aa0WQd8ugo3MnbjzJOv0bQp0KKFMp3Kpk3niw0CaNeuHeu0WpN5/vw5unXrVsSQAZTLxx/CUoVCoYBCoRq2X1Km8o8BhmFgbm6OvLw8tGnTBjNnzsSkf9aGzczMEBMTAxMTk1pDRg3+08YMwzDgcDggIly8eBFHjhxBWloaXr9+DUDpC1C4TPHll19i27ZtOHny5EcRQhccHMwmceJyuXB3dy/iyNy+fXtcuHBBxbO+ppGWloZjx46x0+rvY2VlBRsbmxqb0JCI8PLlSzaM+X3q1KmDLl264OrVqyrbmzYFbGyUGWyLIy1NOQPSoEHx+2VCGR6seIAbs2/g+qzreLblGQ4cOICgoCC2zav4V7j28BpEGSI07N8QFg0tsG/fPmSmCyGRAlL5v79pXEBciR2uQqGAj88L/PCDMhebri4QFKQszJySosy+GxrGQWq+Edr0MMGOk9YYt7UDOs/ojIb9G0LPqAwftajDQMpdQM8cMHAAcoOA4I1Kx9934ekDNt0A+37Ikymnh3g8pcGXmXkcLVv+UOIs5PLly/H8+fPS9ahGiAgODg4lhvM7Ojpi+/btGs/Zokl8fX3x9u1bNGnSRGW7mZkZdu3axX6fM2cOm8T0Q8fQ0BBcLhep/xQOW758OfT19bFo0SJcuHABAQEBaNmyZTVr+YFA/2EYhiEiohkzZpCpqSkZGhoSj8cjKysrOnbsGNtOLpezbT8GFAoF9ejRQ5nMA6DFixeX2JZhGIqMjCSpVFqFGqpHbm4ueXp6ltnu3r175OXlVQUalR+ZTFbmNchkMsrIyCjyP9i/n6h7d6LvvyeaPFn5mTSJaORIos8+Izp5smSZYdfC6OBnB+nc6HN0ZuQZOvz5YQr0DCR7e3v2vuBxeTR10FSKvBNJcqmcdu06RwBI38CRrL/+kiwXdqf6q7tTk1EtyDveu9RrEIvFtG3bNiIiSkkhOntWqe+IEUr9f/2V6N49IpFIvd9NhacTiO59SeQ9Wfl5MprIcyBRfnSJhwQEEH3zDVGPHkQ9ekipb99UevSo9NPcvn27AspVDWfPnqWQkJAy2/39998kk8mqQKPykZ2dTSkpKaX2s99//z17b/74449VqJ12+fTTT2nMmDGUl5dHRESXL18mLpdLHA6HRowYQQKBoJo1/DD4TxszRETPnz8nY2NjOnToEL19+5YOHjxIffv2JQ6HQ0OGDKGYmBi27cdi0OzcuZPtFBo1akRCobDU9p6enpSenl5F2qmPSCSi0NBQtdpGRUVRXFycljUqH3K5nFxdXdVqGxsbSyffs05EIqK1a4n69VMaNX36KP/270+0ZQtRafZn4LlAcu/uTpcnXaZLv1wi957uFPMwhs6fP08AqH379uTr68u2f/06i/T17dj7plPP/dRu/ElyHuJGQyf6UFJS2dcgEokoKytLZZtCQVTpx8pnJtGdPv8aMw+HE90fTCQsXSkfH6I//iD68ks3un49Xy09Vq9eXUllNU9QUBClpaWp1TYgIIDkcrmWNSo/kZGR5OPjU2qblJQUsrCwYO/Ba9euVZF22sXX15esra1p+/btlJKSQkREy5cvp0GDBpGfnx8REQkEAoqNjSWJREJEH8+7SJP8J42Zd2+Eo0eP0tixYyknJ4fdFhgYSL/99hvZ2NiQpaUlbdiwoTrU1ApxcXFkbGzMdgj37t1T67jDhw9TcnKylrVTn/T0dNqzZ4/a7SMjIyk2NlaLGpWfiIiIYjul7OhsenvsLT3f/pyCLwaTMEtpbCYnJ9PDhw9V2ioURL6+RDt2EK1aRbRrF5G/f9kGQlZkFp397iwd6HaADnQ7QJd+vkTCTOV5PDw8ioze27b9hb1nnJyG0qRJDE2eTNS1qxt16cLQ5s1lX69YLKb9+/eX3bC8JN9RzsTc6UXk+QXR7Z5EQZvUspKuXbtG+fn5ap+KYRiKiIhQys58RRR7nijxBpE0rzJXUCn8/f3LNdhYv349+1KsCbx+/Zpu3rypVttDhw6x92GdOnXY2YwPna1bt1KPHj3ojz/+ICKivLw8dib2/v371KZNGzI0NKTx48dTUFAQEVGNnGGrTv6T0Uz0T2rqU6dOwd/fHyEhIbhw4YJKG6FQiPv372Pnzp24efMmgoODP/giYESEoUOHsqGmEydOVAl9LA2pVIq8vDxYWlqCW5pXaRUgkUjg7+9f7hwynp6eMDQ0RDctV/9VB4VCgfPnzxfxv4q+H43nW59DmKHMfsfhcGDZyBK9f+8NA0cDpKSkwMnJSSMOgZlhmYh9FAuuDhcNBzSEiWPxoaenT3ti9GhluQNdXVN8/30QjIw+QVDQHjRvPgWpqRxwucDBg8qQ8NIQi8U4deoUfv7550rrz0IEpN4Hkm8qQ68tOwBOowBe6ZE7RISwsDA0adKkXL/nqVOnMLq7DhDpDigEADjK0O9P/wT0qra2zvnz59GyZUs0b968XMc9e/YMXbt2rXbHUpFIBLlcDj6fr1b+LiLCgAEDcPfuXQDArFmzsH37dm2rWSV4eXmBx+Ohc+fObB+bl5eHXr16gWEY/Pzzz7hw4QJEIhGbHJA0UGbhY+E/acwAQG5uLjp16oSIiAjY29vj1KlT6NWrV5EbIywsDElJSSqF+T5Uzpw5gx9++AGAMltmcHBwuQpJXrhwAT179iwzE6e2yc/PR3BwMDp37lyu44gI6enp4PF4sLIqvu5PVaBQKLB161bMnz9fZbsoW4S/p/wNYZYQFg0swOFwwMgZZIRkwKmXE/qt7YfY2Fg8efIEY8eOrRJdhUIhmjZtjYSEKABAz5670aLFVCgUEshk+dDXt4ZAAKSnA7t3l+xw/C4ZGRkwMjJBRAQf9+8DwcFKe6RRI2UF6zZtig831zTbtm3DL7/8Uv78IaIUbJzXDwtHOQOGdZQGVH440GQG4Fx1NcHi4+Nhbm4OY2Njtt9SyBTg6nDLfME9evQI3bp1Y5O3VRehoaFISkpC37591T4mKioKrVq1gkikTHj49OnTGjFA0RRBQUGws7ODlZUV0tLSMGLECHTq1AmbN29GeHg4Bg4ciAkTJuD3338HwzDVPrisKfxnfwVjY2McPXoUixcvhkgkwtSpU3H16tUiochNmjT5KAyZzMxMzJw5k/1ekYrYw4cPx/3795FWUghNFZCZmYnjx4+X25ABlLMcKSkpyMrK0oJm6pOTk6Pyvygk2TcZ+cn50DfVR35iPnLjciFIE8DQyhCpfqnIT8qHs7MzvvrqK/j5+VWJritXrmQNGRubz9C8+WQAQEDAdvD5SoNQJAL09JTJ+tSBwzHGd9/txfz5wNmzyqimmBjg0iVg4UJlFeucHI1figre3t6YNGlSxRKhSbMwe6gdMsX/XDCPD4ADSDI0qmNZJCcnIycnRxmRyRB8D/ji/A/ncWveLeQn55d6bK9evbBly5ZqTb0QGBiIxMTEchkygDKFxruVtf/3v//V6Cit8pCTkwN3d3d2tsnW1hYGBgZsssD69etjyZIlOHLkCJKTk2sNmXf4z/4SPB4PXbt2xezZs7Fv3z6YmZlh+PDhmDFjBqKjo6tbPY0zf/58ts7J8OHDMXz48ArJGThwIExMTKol1FmhUCAnJwdTp06tsIxPP/0UCQkJ8Pb21qBm6sMwDM6fP18keZlCqkC8VzyyI7OR4J2AZN9kpL5JRfLLZCT7JiM7MhtpgUojsqpqgb169Yotfsnj8WFhMRV3736P8PAT+PTTBf+kNVCGV3fsqKy9VBYKBbBnjz4yMiZBKLyMli2VRZmdnICWLZUZje/dAzZsUCb+0xZEVPGyJHxb8I0tcPamn3JKSV6g3G5QcukJTXP58mUYGxujbt26AID0oHQEng2ETChDwrMEhF4OLVPGwoULq62vk8vlaNCgQbH5odRhzpw57DJzcHAw1q1bp0n1qg0zMzPExsYiMjKSHXTNnTsXV69eRXx8PHR0dGBpaYkGDRpU+6CspvGfMWbeTwVd+GJ3cHDAyJEjcfjwYSxatAhnz57FwIEDsW/fvg8iYZw63L59G0eOHAGgfFh27NhRYVnm5uY4e/Ys+/tVJfn5+YiIiKj0GnHPnj3RokULFBQUaEgz9WAYBvv27StSrE4qkOLJ+icI+zsMcokcHC4HBuYG0DfXB9+cD7lYDlG2CC+2v0DErQiYmZnB2NgYJ0+e1JquMpkMEydOZJ+b5s3bIixsDKKjPZCU9BIMw0FurjJfjKMjoG7qpdevlcaKk5M+6tRpUcQoNjFRLlU9fQo8e6bpq1Kyfft2tGjRouJGob410Hgapg5rhF3H7wHCJGWxSsfBGtWzJLKysjBgwAA0a9asUnI4HA4CAgKqpZ8LCwvDvXv3KlwiQEdHBwcOHGD/h2vWrEFgYKAmVawWOBwOJkyYgBs3biAkJAQKhQLt27eHra0tmyxwyJAhOHHiRG3+mff4zxgzhdNxp0+fxrBhw/D555+jVatWcHNzQ1paGpo1a4Zff/0VJ0+ehI2NDZYsWVJjE62VB4FAoPLy/Ouvv0otXqgOP/30E7y9vZGdnV1Z9dQmKysL586dw8CBAystS1dXF35+flVS5+VdpFIpvvvuO5VtCpkC3lu9EXkzEuYNzWHdzBokJ0jyJJAJZRDniKFroAvHjo7Kttu8EfsoFg0aNMDQoUMRExOjFV25XC5++eUXGBkZwcTEBAEB/85khYXtwtu3wcjJAbp2VS4LqftevXsXkEoBc3MOjIzqwN9/S5E2hobKCY+bNzVzLe8SGhqKqVOnwtTUtHKC7L8Ap+N2jJr+F8TN/gBa/Q7oGJR9nAbw9/dHXFycyhKDTQsbtBrVCnpGeqjbvS6aDVPvHzJ8+HDs2LGjSg2ayMhI5OTkYPDgyhl/bdq0YcuvyOVyTJw4sUj24A+Rr7/+Gj169MDy5cvh6+sLkUiEnJwc6OnpsTOKtra2RZbWPob3VWX4TzgAF1bEPnDgAJYuXYrWrVujQYMGyMzMxKVLl7Bq1SosWbIEOjo6ICKEhISAw+FUeuRTE5g3bx62bFG+MPr06YN79+5pxPs9ISEBdnZ2VeJASETIzMyEqampRiuWP378GEZGRmjfvn3ZjSsJwzDYvHkzFixYoLI99lEs7q+4D2N7Y/BN+SCGkBuXi9y4XCjECuiZ6cHc2RzGdsYgImRHZMPkExMM2TcEmbmZiIqK0mrtqdjYWDx//hw//vijyuzmiBHTsG7dLjSqmwGOLBcwrAvwyv7fjBsHZGUBdeoov8vlYmRkvIK9fQ+Vdqmpysy8Z84oMwZrilu3buGzzz4rUn+pohAR/vrrLyxcuLDiMhhCWkAaMkIzIBfJwePzYNHAAg7tHMDVUR1v3r59G/Xq1Suxb2LkDDg8TrmecalUitzcXNjY2FT4GtSF/qk3lp+fDzs7u0rLE4vFaNOmDcLCwgAoZ91mzZpVabnVTU5ODoYMGYKoqCgkJyfD2toaly9fRrdu3UBEuHbtGm7dugUOh4MBAwbg66+/rm6Vq52P3pgpDF3Ly8uDs7MzFi9ejGnTpsHU1BQHDhzArFmzcOfOHfTs2RPBwcHlDnEsC2dn52JnAKZPn46dO3eCiNjaT9nZ2ejSpQt27typkSnEFy9eoGvXriAi8Pl8+Pv7F1u3paLs3bsXI0aMgLW1tcZkFkd2djZu3brFRmJpCoFAAB6PBy6Xq1Ej6X0YhsHZs2eL6E9EuLf8HuKexMG6mXWRfQCKvJTkEjlyonPQZ2Uf1O9bHxEREXj9+nWRGR9Ns3DhQvz1118wNDTE6tWrMXv2bPAyvYCQbYA8HzBvDbT6TVlSoBR+/FFZyfufUjtgGAUyMl7C1raLSru0NGVtqZMnAX19zVzD7t278eOPP5aY8r+iEBFOnTqFH38sXyQTESHaMxqhV0KRHpwOuUjOllfh6fFg1cQKjQc3RuOvGoOrw4VIJAIRQUdHR+P364EDBzBhwgSt+2MFBQUhNDQU3377rcZkPnr0CL179wagLA8QFBQEJycnjcmvLuLi4vDo0SOEh4ejTZs2GDx4MPh8PpKTkzFo0CBER0fD0dERAoEAGzduxPfffw+5XF5lPnU1jY9+manwZXDq1CnY2dlh6NCh7BTz0qVL4eLigp49eyIoKAgzZ87EMw0v1Pv4+CA5OZn93LlzBwDYl8+GDRuwefNmuLm5wcfHB/b29ujfvz/y80uPRigLqVSKiRMnsi/FVatWadSQAYApU6YgMDAQAoFAo3LfJScnB9euXdO4IQMARkZGePLkCUJCQjQuGwByYnLw5vAb3F1yF+I7Yjz96ykSvBPAyJUzHLmxuUh5nQIju6L1gDic4kfXOnxlRxV1Rxlh1LBhQwwZMkRjtWoyMzOL3W5oaIgJEyYgICAAc+fOBY/LASL2A9JMgG8FZHhDFHoNgWcDce+3e7g1/xYerHyA0CuhEGWLWDnOzsC7tzaXy4OlZWv4+alWos/LUzoDa6rIc0pKCiZOnKhxQwZQ/q+6dOlSxC+vNIgh+O73xeN1j5HmnwZDG0PYtLSBdQtr2LS0gcknJsgMz8SzTc/wfOtzKGQKPHnyBBEREVoxvCdOnIgDBw6wtei0QUpKCiQSiUYNGUAZmVW4lC4UCjFt2rSPYsmlXr16GDt2LFatWoUhQ4aAz+eDiBAfH4+4uDgcP34cQUFBGDNmDGbOnAmxWAwdHZ1y3YcfEx+9MVOIgYEBsrKy4OzsDAD45ZdfYGVlxU4Px8TEQCQSaTwBkY2NDezt7dnP33//jYYNG6J3794gImzduhXLli3D8OHD0apVKxw5cgRCobDSzp0bN26Ev78/AGXV3/dzmmgKa2trrYYH8vl8rU6hfvHFFxCJRBqtrC0Xy/F863Ncm3ENL/e9xL7z+8CN4yLkcgg8l3jixpwbyI7KhiBNAKlACr5p+d7YeiZ6yI3NBfBvuLkmQrWTkpLQuHFjzJw5U8WY9vPzw8qVK3Ho0CHUr19fuZEIYKQAVw8M8ZGfnIdXe14ofXoexiLpZRKi7kbBa4MXrky8grdH34KRM+jfX3mo+J0akDo6hmjVahays5VFLmUyZSTTV18pZ2c0wePHjyEUCjUjrBgaNGhQroiawHOB8D/pD31zfVg2sQTfRPUe0DXUhWUjSxjZGSHkcggOLVH+9u9XVtcko0aN0qrvDJ/P14oxCQDr169nfQFv3LihVef4qiYmJgZTp07Fq1evwOFwoKurCxMTE+Tk5ICIMHv2bDRo0ACLFy8GgP9suPZ/5qqtra2Rnp6Ox48f4969ezh8+DC2bt0KS0tLCIVCHD58GGZmZujatavWdJBKpTh+/Dh++eUXcDgcREdHIyUlBQMGDGDb8Pl89O7dG0+fPq3weUJCQrBq1SoAyhv7Xa9/TdOyZUscOnRIK2GCOTk5OH78eLnz4ZSXhg0bol69ehoZ0ShkCjzb/AxB54PA0+Mh0TwRP33xEywaWMCmhXLEnfo2FfdX3EdeQh7AFF1KKgsOhwOFXMGOPp2dneHs7FyksnZ5mTlzJrKzs7Fz506sWLGC3V6sozSXBzj9AIa4yAvxRVK4GRJj6kMuk0OeHQdOQSjkOclgFAxEWSL4HvDFC7cX6NyJQZs2QESE0hG4ECJCXm40JEIFQkMJzZoBvXpV6nJYjhw5gi+++EJrL1JA+T9ZunQpO/NaGqJsEQLPBELXSBeG1qX77uib60PfSh+KtwroSzS03lYCFhYW2Lt3r1ZmZ0JCQuDp6YkG6mRVrADvV9aePXv2R1NZOzc3F8HBwfD19QWgHJw6OTnBw8MDHA4HFhYWGDFiBCIiIqo1B1h181EaM4UvpXdfTu3bt0ejRo0wd+5cjBkzBj/99BMGDhwIsViMY8eO4fLly2xODW1x6dIl5OTkYMKECQCU064AijjC2dnZsfvKC8MwmDRpEjvCWrBggdYdXKdPn464uDiNjury8/Px4MEDTJo0SWMyS8La2hoPHz7UyOxG7KNYRN6OhGldUxjaGMKYr5pJTtdQF1bNrJAdlY2oO1Hg6nEhl5Tv5SGXyGFgYaBiBDk5OeHzzz+v8JKfh4cHLl68CECZqGv58uUAlCPewYMHF29w1RmG0PgpeHLza7x6+QMEiRlwanIN7b6+jk+/uov2g6/ik3rXIcuMB0+Ph5BLIUh8EIElS4C2bZUGTUQEkJ4iR/SrPMT7NsN1j/UwLUjGlO8zoQkbtqCgAMOHD4dFWXUWNACHw1ErSir2USwEaQIY26uXZTBUEoqk9CRk+Gg/HYKLiwvOnTun0aignJwccLlcjBw5UmMyi+Obb75hl++zsrIwd+5crZ6vqmjTpg3MzMxw//595PyTTXLOnDm4ffs2oqKiwOfz0bZtW0ydOrXas7NXJx+dMXP16lWMHj0aQ4cOxZYtW1h/CHt7e5w/fx6GhoZITU1FXl4e1q5dixEjRmDLli1YsWIFWrRooVXd3N3d8dVXXxUJjX7/RVGZeht79+7FkydPAChnHN4dYWsTgUAA8btrB5XEwMCgSqKMChk0aBC4XC7i4uIqLIOIEHkrUhk+aaKHc6/PoYltkyLtuDwujB2MkR2dDQMLAwhS1TdAiCHIBDI49VJ1cNTR0UFiYiIePHhQbr2zs7NVMhLv2LEDlpaWSExMxIIFC0qctpYUSBFwXY64lDq4G3gbzfs+gk2jBKQKrRCdWQ/pUnPYt4hGsx4PIE5JBDGEsKthsLdlsG4dsGAB0LgRITkwGxmxAtgYAKNb90BXznnEuN9Dbnxuua/lfTw8PLTqB/I+nTt3xurVq0ttE3M/Bjw9XpFIpWLbZsWgnkU9NHZojKi7UVXiC9KtWzeNLreLxWKtLvG9y/bt21nD9cSJE7hx40aVnFfbrFmzBh4eHrh79y7EYjE4HA4MDQ0RHx8PAOjfvz+GDBlSzVpWLx+V2/OuXbvw559/oqCgACYmJrh+/TqeP38Od3d3mJqa4tNPP8WpU6dw9OhRHDhwAKGhofjkk0+wadOmSuc8KIvY2FjcvXtXpaClvb09AOUMjYODA7s9LS2t3GGLRITw8HCVENHt27eDiLTqoFtI27ZtsW/fPnz33XeVHgXn5eXh5MmTmDp1apXoXkhhmHlFz5mfnI+4t3HQtdJFcGowhrYeCrGseAOPY8JBfmI+HJs4ItMnE3piPXB5Zb/cBOkCcE25sOlsU0TPTz75BDKZDNevX0fvxo0Bf3+lx20ZBVLnzp3LzgQOGjQIgwYNgkAgwLVr1zB69OgSjZnIe5Hw9PPE6ajTyJXlonWKMyyz20GXkYEDGSQCXaTnOqGRQzRM7P2RK7ZAUkgSIp9GwrGDI774AmhhmYK/Ax7BqLURTM24kClEeBUfhfRYHQT+HYg249uU+ZuUxJUrV9CvXz/o6elV6X3k4uKCp0+fok2b4nXPSsmCXE9e4r3xLjpcZRet0FUgLycPuRm50DXUbjoEGxsbrF69Gi4uLuBVskhWeHg4/P39MXz48Cr5H5iYmGDt2rWYNm0aAGDSpEkICgqqfF6haqZ9+/ZYsGABli1bhpMnTyI7OxvZ2dkaCW//aNB8Ie7qITY2lvh8Pi1fvpxev35Nfn5+tGzZMuJyubRx48Yi7aVSKYnFYhKLxVWi34oVK8je3l6lbDvDMGRvb0/r169nt0kkEjIzM6M9e/aUS35+fj4BqP3Ufmo/tZ/azzufadOmaawfr2527txJnTp1otatW9Px48erW50axUdjzPTo0YMGDx5MeXl57La0tDTq1KkTTZ06ld68eUNnz56lW7du0bNnzyglJYXCwsKqRDeFQkH16tWjxYsXF9nn6upKZmZmdOHCBfL396fRo0eTg4ODynWow5EjR6q906j91H5qP7Wfmvh5+vSpprrzaic/P5+IlO+VWv7lo0iad/DgQUycOBG+vr5o27YtgH+z/s6fPx87d+6ETCZTWW/mcrlo1aoV3rx5o3X9bt++jYEDByI0NBRNmqj6UNA/SfP27t2rkjSvVatWasvPyspC06ZN2XpJx48fx7BhwzR5CeXi0KFDGD58eLmjR/Lz83HkyJFiK0pXJUFBQTA3Ny932QdiCCennIQiQQHrRtaIzzHCSZ9mkMi5sDURsWHGCoaDpGw+zHlCuB0zQYseVsiKzMJr99dIC0iDVCCFrqGuMmpJpgAjY2BoY4iGXzRE6zGtoaNfxuqwUIjEhQuR5ueHds2aAatWKQsovcfy5cuxdetWAED37t1x8+ZNcLlc7N69G5MnTy5zieHNsTeYsGgCIvIjAACd6ptjTLuOsDX6N+pGDh7qOcYjN9YOcWGDwNPjodv8bmj8lTLnkUKmwL2l95D0KgmGdobg6fIgSBGAY8pBfrd8TJs/Tc1f/18eP36M1q1baz0KriwUCgWSk5NRpzDd8T9E34vGE9cnMK9vDp5e8b9xYm4i+Dp8WBtZgxhCZmgmOs3ohObfajapZ1ls3LgR8+bNK/dyU2RkJAIDAzF06FAtaVY227Ztw7JlywAALVq0wOvXr7WaHLOW6uWDN2YUCgVGjhyJy5cvY86cOZg/fz4cHR3ZdX5HR0fUqVMHw4YNQ4MGDVBQUIDc3FwkJibim2++YTNHfsj8/PPPOHz4MADg22+/VfHLqQ5EIhHEYjHMzc3VdiRUKBTw8/NDu3bttKydely5cgX169dH69at1T6GiLBx/kbYvLSBmbMZroY1xfMYe9QzL3gvXwpBmCVGpo4dlm00x48/ctjjM0IyEPMgBtmR2ZBL5OCb8vFJp09Q77N6MLRSPwV/bnIycvz9Ua9jR3AsLYvsl8vl6NOnD7y8vKCnpwc/Pz80bdoUhw4dwvjx49V6eaX6peLItCNwfemKcY0/xYQRuYjPqgOJkA8eGMjBg4lpPmyNMxF6rzOkup3AN+Hj671fw8Tx3wKDBakF8D3gi0TvRDByBhYNLdB2QlsYNzbGzZs38f3336t93USE4OBgNG7cuEpKbZSly7FjxzB+/HiV7TKhDFcnXUV+Sj4sGxX93/jG+8JE3wSNbZQGX258LnT4OhiybwiMbIomWNQ2L1++ZCtUq4NcLodQKISuri4MDKqmXlVJenTt2hWvXr0CAKxcubLKAiJqqXo+eGOGYRi8fPkS58+fx65du1CnTh2sWrUKo0aNwsyZM3H79m3cvHlTa/kNtAUR4dKlS+jTp0+pDrV3795F//79AShzLQQFBVW6kKQmOHbsGIYOHar27IxQKISPj0+NMS4ZhkFaWhqMjY1hbFx2CC0RYcuWLZg1dRYerHyAyEeJOJTYH+DyYGEoUWknyZNAR18HMvs6aNGGj927tXMNAQEBCA8PLzHjqkKhwK5duyCTyTBv3jzI5XKkp6erOKOXBjGEW/NuIc47DooCMeo3fwDbZnFgOByIZXwY6IkBGReJfg2RlNgLunw9NB3aFD2X9CxWnjBTCIVEAWN7Y3C4yrT+KSkpsLGxUTtP0p49ezBixIgqqTOkDoX3xbx581S2R9+Phtd6LwCAaT1T1ujPEeVAj6cHA11l6H1BcgGkAik6z+xc5bMyhdy6dQv9+/dXOxlbTEwMAgICakS9oDdv3qBjx45QKBTQ0dHB27dvtR61Wkv18MEbM4VkZ2fj4cOH2LJlC548eYL+/fvjzp07uHz5MvtQFdatoEqEPlcFKSkpmDZtGi5duoRffvkF7u7uxbYTCARo3bo1oqOjAQD79u2rkrws6nLy5El8/fXXZUYSFBQUwN3dHXPmzKkizdTj6dOncHR0ZLNGl0Zubi50dXVhaGgIUbYId9Z4Y8XhBuCRAqZGcnA4gELOAAxBz5gPu09tkSU2grU1cOSI9q4hPT0dOTk5apWy2LBhA+bPn1+uJYVEn0Q8XPUQ0nwpRDn5MDMMh3ndJPCNRRDlGiE7vg6EiibQNdCDiaMJPl/zOawaW6ktPzc3FydOnMD06dPLbPv27Vs0bNhQLeOzKhEKhZDJZEUM+/Dr4Xi5+yVE2SIYWBnA0MYQ0dnR0OXowoqxgjBdCD0jPbQZ3watRreq1j5r3bp1WLx4cZkGTWxsLIKCgvDVV19VkWZls3TpUjY7c7du3fD48eNKR2nVUvP4aIwZQDkKCgsLw+nTp3H8+HFER0dj165dGDt2rMaq5FYFCQkJaNGiBZtS/u7du+jXr1+RdgsWLGAT/fXu3Rv37t2rUamsMzIyYGJiAn4pBXaICHFxcahbt26N0r2Qa9euwdnZudTCn0SEHTt2YPbs2ew2uZTB+O9FCA+UwgI5IIaBrqEeTOuYwNjeGDw9HQQHA/36Adqc+U5JSUFmZmaZhUuvXLmCQYMGVShTdJRnFLy3e0OYLgRPjwdGzoAUBI4OB1weFwqpAmb1zNBjUQ84tFdv1udd8vPz4e3tjS+++KLUds+ePUObNm1q3LNORHBzcyu2mnN6cDoib0Ui5mEMXkW8giHPEE7GTjCwMEDd7nXRcGBD2Lezr/bBF8MwiI+PL7WAIxFBIpFAKBTCspilzepCJBKhTZs2CA8PB6DMo1Tdfnm1aJ6PypgpJC8vD15eXti1axeuXbuGIUOG4I8//igx70NNZPfu3exotEGDBvD391fppH18fNClSxetVcTWFLt378bYsWNhYmJS7H6BQIBbt25h+PDhVayZekgkEkilUvD5/GKdB4kIBw4cKHZG7MIFYMsWoH594H3XgdxcZWXoP/4Aeha/6lIhiJR1jXg8oNBlxM/PDzExMRgyZAimTJmCCRMmoHv37irXEBQUVKlK7RkhGQi/EY7Yh7EQZSmrO4MDCI2E6Dq0KxoNagRzJ/MKyVYoFAgLC0OzZs1KfKnv378f33zzTY3NgMowDNzd3UucOU2NSUVedB4YKQMDYwNY1LdQ8SuqCZw4caLUvEMxMTF48eJFuXycqoqHDx+iT58+AJQFZoOCglCvXr3qVaoWzaL1eKlqJDo6mjZt2kROTk6kr69Pmzdvrm6V1EahUFDPnj3Z0MKFCxey+6RSKX366afsvnXr1lWjpmVz+fJlEggERbYXFBTQrl27qkGj8nHr1i0KDw8vdp9UKqWUlJRi9xUUEC1cSNS9O9GgQUTjxxONHUs0YABRz55E69cTvZN2qFLk5hJdvkw0dSrRsGFE335LtGIFkZcXkUzGUF5eHm3cuJEAEIfDoTVr1rDHrlu3TiX/UWUoSC2gOK84enrmKQ3oNYBMTEwoPj6+0nKzs7Np+/btxe6Ljo6usnxRlSElJYWkUmmx+549e0YvX76sYo3Kz6ZNm4oNCU5OTqb79+9XvULlYPLkyWyfOWjQIGIYRuPn2LVrF7Vu3ZpMTEzIxMSEunbtStevX2f3MwxDK1asIAcHB9LX16fevXtTQECAxvX4L/JRGzNEREKhkB4/fkwDBw6k3bt3V7c65SI4OJj09PQIAHG5XLazW7NmDftQtm3btsQOsqYQERFR7MsyOzubhEJhNWhUfm7fvk2hoaEq2xiGIVdX11KPy8sj2r+f6LvviPr1I/riC6Jx44hOnyaSSokYBVPpTjUpiWjGDKWB1O2rGOo+9g71+PEhde2dS337Em3eTPTw4VMyNjZm75tbt24REZGXl5fGDJlC9uzZQ6ampuy5hgwZopEXh0AgKPaFf+vWLcrMzKy0fG2jUChUEmQW8uTJE3rz5k01aFR+hEIhZWdnF7s9Li6u6hUqBzk5OeTg4MDelydOnND4Oa5cuULXrl2j0NBQCg0NpaVLl5Kuri5rsLi6upKJiQl5eHiQv78/jRo1qkJ5xWopykdvzBSSnp5e3SpUiNWrV6sYLv7+/qyBw+FwPojRHBHR1q1b2WRPRMoXk7u7ezVqVDYiEZGPD9G9e0RXrmSTl5eIBALlqJRhGDp37pzasvLyiIKCiIKDlXKJiKLuRZHHjx50dcpVygjLqJCOUinR7NlEXXuIqdOsLVR38WCyW9KD7Jd8RvUXfUe9fr5JPXsSdew4nL2PfvrpJ/b4Bw8eaHyE+vPPPxdJWnbmzJlKyxWLxeTl5aWy7ciRI5ScnFxp2VWFQqEgDw8P9rtEIiGBQFDszGVNxc3NTWV2JiYmho4dO1aNGqnPxYsX2XvSysqqSt4LFhYWdODAATbj+7sDILFYXKGM77UU5T9jzHyoSKVSat26NfsAOjs7F7v09CHw8OFDkkqlJBAI6MiRI9WtTokkJhIdP65cEurTh6hHD+WnZcuLNGxYKJ08SZSUxFBQUFCFzyETy+js92fpYK+DtL/Lfrq/4n6F5Hh5EfXuTdRt2kGyW9KDnBd/S00XTqImC38hx1+/oLq/fkXNuv3F3jM2NjYUFRVFRMpRojZm9TIzM8nOzo49p62tLV26dEljst3c3IiIKCMjg0QikVaWC7RJUFAQq/Pjx48/yOy0e/fuJYZhKCcnh3x8fKpbnXIxcuRI9t4cO3as1s4jl8vp1KlTpKenR4GBgRQZGUkAyNfXV6Xd0KFDafz48VrT479CzQsfqUUFXV1duLu7s053MTExAJQVsVeuXFl9ilUAIyMjMAwDHR2dGhW6+S7PngEuLsCuXUB6OuDkBLRsqfx07DgMiYlp+OuvWAwYsAYFBRXP+8HhcsDTVUb+AABPt2Khol5egAT5SDG5AT3GDPqMDTjggAsdmCoaQCzJQsTbVWz7RYsWITExEaGhoVi4cKFWEstZWlpix44dAIAJEyYgKCgI33zzTblkpKYCfn5AYCDwbsFlS0tLTJo0CZGRkXj06BFyc3OrPdKnvDRt2hTr1q3DmzdvYGlpiW7dulW3SuXm22+/ZbOqV2divIqwY8cONjv08ePHcfPmTY3K9/f3h7GxMfh8PqZOnYqLFy+iRYsWbDHX94tD2tnZsftqqTgfVdXsj5VOnTph4sSJ2LdvH7ttz549NS4EtSw6dOiA9evXg8vlqlT3rim8eAGsWwcUFAAtWgDvB23w+UCTJg2QmekPkWgZ1qwBfv8daN++/OdKTuWB17cXMsRRMDHjof6IikWipaUBHOM0SLk50GeKRvII7yVCLlSG+Hfs+DXmz5+PoKAgnDlzBkuXLtVaOPzIkSPx6tUrtC/njxMVBZw7pzTSCgqU/wM7O+Crr4DhwwFDQ2WE2cGDBzFz5swPsmowl8vFokWLcPv2bXTt2rW61akQNjY2WLp0KZo0aYIJEyZUtzrlwt7eHps2bcL//vc/AMDXX38NOzu7Mo1ie3t7vHz5skz5TZs2xZs3b5CTkwMPDw/89NNPePjwIbv//fNQDc979qFQOzPzAUBESEhIYL+bm5vj8ePHkEgkWL16NQBg9erVSEpKgru7O3x8fHDr1i1cuHABQUFB2L59O/Ly8lTaZmVlYefOnfDz88OVK1dw7do1+Pr6Yu/evUhPT1dpKxQKsWnTJoSGhuLs2bPw9PTE06dPcfjwYcTHx6u0VSgUWLduHWJjY3Hs2DE8efIEDx48wOnTpxEYGIjAwED07dsXf/zxB3tMSkoK9u/fDx8fH9y8eRMXL15EQEAAduzYgdzcXBX5OTk5cHNzg7+/Py5duoTr16/j1atX2LdvH1JTU1XaikQibNq0CeHh4Thz5gzu3bsHLy8vHD16FHFxcVizZg0YhsHq1auRmclg4sQ1SE+PA8McRVqaFxIT7yEy8gxyc8Ph57cJcrkIoaEHkZ7+HBkZ85CWlopp0/bh4cNXOLzhMJYNXAa379zwh8sfyMnJUdElNzcX27fvwOnTARgz5iKGD7+J37dH48DbtzgW9Am+HLkd+/YBCxeuhlgsxsaNGxEeHo7Tp0/jwYMHePLkCY4dO4bY2FisW7cOCoUCq1evhrExkBB8AJRLyAkIgjAxBYLYROSFRCInIAyCt8r7hsPhY/bs3VizZg1Onz4NU1NT+Pj44Nq1a7hy5Qr8/Pywc+dOZGVlqeidl5eH7du3IygoCBcuXMCtW7fg4+MDd3d3JCUlqbSVSCTYsGEDIiMjcfr0aeTl5eHx48c4fvw4YmJi4OrqCrlcrnJMQkICDh06hOfPn8Pd/Q7GjTuH06dDEB29BY6OBcjIWI2sLGDZstVYujQDf/31F/7+2w1i8WtMmtQfu3ePx5IlYxAR4YM///yTlZufn4+tW7ciKCgIHh4euH37Nry9vXHw4MEiestkMqxfvx5RUVE4ceIEHj16hEePHuHEiROIiorC+vXrIZPJijxrBw8ehLe3N27fvg0PDw8EBQVh69atyM/PV2mbmZmJ3bt3482bN7h69Sr+/vtvHD58GEeOHGHvv8K2BQUF2LJlC0JCQnDu3DncuXMHz58/x6FDh5CQkKDSVi6Xw9XVFTExMTh+/DgeP36MBw8e4NSpU4iMjMSGDRu01kfEx8dDKBTCwMAAf/75p8b6iPDwcGzcuBFisVjlGE33ET///DObDFOhUCApKQmJiYmlftSdPdHT00OjRo3QsWNHrFu3Dm3atMG2bdtgb28PAEXkpKWlfZBGeU3jo8wz87Fx7tw5NneDsbExFi9ejGXLln1w1rxCoUB0dDSio6PRo0ePGjWzdPky8NdfQJMmQGl543x9V6N9++XIyPCFvn49xMVZY/ZEARQXr0KULQIAGFgY4KsdX8Gs7r8ZX4mAU6eAo0cBgQDo0sQXPetfg75OAaJyOuBmwLdIT+fCRJ6Dbz+NwGdfGqHFiBbg6pQ+3rhxA1i7FhC1d0W80RWYyRuDB30QEaIOnYYsUzkr07r1Tty6NR08XhosLCzg5+eH3NxcfP7555X/8TSATAbMmqVcVmrWrOismEgkhlR6CB063EZ4eBCaN7eCubkRBAIJDAwU0Nc3hYNDR3TqNB0mJuVPzFeVREZGgsPhwMnJCevXr8fSpUurW6Vyk5GRgbCwMFhbW6Nx48YfXF8klUqxbt06rFq1ii1AbGNjU2ohSnVnZt6nX79+qFu3Lg4dOgRHR0fMnTsXixYtYvWwtbXF+vXrMWXKlIpdTC0AapeZajxZWVmYMWMG+/3QoUMYOHAgBAJBjUvbXhpisRhubm5YsGABGjVqhG3btmHSpEk1wqCRy4GbNwE9PVVDRi6WQZwjBqMgcHkciBGFdu2UVXh1dIyhq8uDri5w/Rrhs2wxLBsoa2jlROdAkCpQMWauXAHc3QEjI6B7Cz8Mdf4DxrrpkDN8NDB9BhN+Fk5dGYLISC4OxtsiN/A1uDwuWowsvY5Mz55Kv57IwF9g0y4RmbpvQVAAACyGtYLg7yRwhZ9gzJipcHAADh26hjFjxqBDhw4IDQ3Fixcv0LlzZw3/omXz/tS6ry8QFgY4Oxc1ZAAxbG3XgcgTL14o8NVXHWFjY4y8PDFCQ5PQvXt9iMU5iI72RH5+Evr0WQkzs7pVeTnlgs/ng8PhgMfj4ddff0VQUNAHVS8oMTERnp6ebAHNtWvXYsmSJR+UQSOVSjFv3jwYGhqyhoWtrS18fX0rVVl76dKl+Oqrr1C3bl3k5+ezM6s3b94Eh8OBi4sL1q5di8aNG6Nx48ZYu3YtDA0N8eOPP2rq0v6z1C4z1XAWLFiA9PR0AMCwYcMwYsQImJiYYP/+/fhQJtUUCgWeP3+OBQsWsNtmzJiB7OzsatTqX+LigOhopW8GAEjyJUj1T0Xso1gkvkhE8sskJL5IQvhzL2QEp0MqkMLcvAni42/C0DASiVn6kFnZISMkAxkhGTCtawrz+uas/Jwc4PhxZUZeBwegmbknTHTTkCRoiTRRY4jk5mhlcRNcYQbqWAhQwDXDs9T6SAtIK1N3ExNg/nzgE3NbGD1bjwbxv8M5fyzq5/6CRtm70bpBOH744TImT+Zi7969GDNmDNtZ29vbo1GjRmAYRgu/avEwDIOdO3fis88+g0wmY7eHhABSqdIn5n0MDd2hp3cXRPXA5zcAh6NsZGqqj9atHfHoUSQMDCxgbd0cmZmh8PJaD7lcXFWXVC4ePXqEyMhIfPLJJ+y2sLCwatSofMjlcvB4PJWX79KlS3H//v1q1Kp8SKVSHD58GCYmJpg7dy7r1xUYGAhXV9dKyU5NTcW4cePQtGlT9OvXD97e3rh58yZbDHjRokVwcXHB9OnT0bFjRyQmJuL27dslZkivRX1qjZkazN27d3Ho0CEAgKmpKdzc3NjRz9y5c3H48OEPwqBRKBRFZmB0dHTw+PFjiESiatLqXwoKlC9SPT1l5eZE70RkR2aDCOCb6UPfwgBJ8oOw0e+PzLAsJL5IhDhHhEaNRkNXl4FULsanU7rh0zGf4tMxn6LPyj4wtPr3eh8/BlJSgML3lw5HCoZ4AJT/SzmjCy6Xgb4BIBdKYMrJR3SeNQr0rdXSv107pePyiKGGsMr9AoaB02AU+j848dtgymRdbNxoDT5fiB9++EFl1GlmZoaIiAh4enpq7LcsjaCgIHz22WeYOXMmvLy8sHHjRnafQgEUN7DnclPB598Gw1gjKCgZRACP92+3ZWLCR8eO9SCRyMHl6sDCoiHS0vyRmPiiKi6pXCQnJ6Nx48YqleG5XC6GDBmCDRs2VKNm6pOZmQlfX98iNbz4fP4H0RfJZDKcPXuWrc2ko6MDd3d3tvDkn3/+iaCgoArLd3d3R0xMDCQSCdLS0nD37l3WkAGUzr8rV65EcnIyxGIxHj58iFatWlXuomoBUGvM1FiEQqHKGurGjRtVRnMAMGDAgCodVVcEiUSCbdu2FbuU8cMPP+DIkSPVbtDweMoXqVQgRcrrFMiEMhhY6kPXQBccDgcSeRqcrSZB11AP+hb6kOZLkPImRbkMJc4BwwhgVd8cnWd2RueZnWHZULXI3oMHylmZwv4/tqAD5MSHJT8GpropMOcnIy6/LYwFeTCSZMMYBSBTU+Q6NFX7Gho3BhYtAiZP9sLGjRJs3w4cOABMmACYmSk7WX19/SLHde7cGY0bN0ZISEglfsGyISJMmDABT58+Zbf98ccfCA0NBQD84xsJuVz1OD29R+ByM5CYyEGdOvVgYWGsUueKw+FALlfAyysKAKCjow8iIDLydo17uRYUFCAvL6/Idh6Ph7lz5yI5ObkatFKf5ORkPHjwAIMGDSqyr0ePHlizZk2N+83fh8vlom/fvirb2rZty0ZXyuVyTJo0qcb3q7UUpdaYqaGsWLECUVHKDrpXr16YOHFikTaffPJJjR7R0T9VzN9dXnqfsWPHQv7+G6yKsbBQFoJMiyqAtEAKfXM+CmdNACC94B64HGU+Fg6HA76ZPsS5EuQn5sPQsBMEgvvIzY0uUX5qqmqhyZCcfniYNB0ihQUIPPhnfYV78bPB5ypQxywPDdubwayuGYTS8uWAiYiIwHfffYFx49ohJ+cpu2Rz+vRpTJ48ucTq5QYGBlr3XeJwONi5c6dKKLhEIsH169cBAN27Kw2axETV4/T0XoBIHzo6upDLdeDgALxvk5mZGaBjx3rw8YkDABgaWiM11Q8SSa5Wr6k8eHl5ISkpCU2bFm+gcrlcjec70SREBGNjYwwePLjENsuWLUNAQEAValU+ZDIZNm/eXGRQCAC///47W6j36dOn2L17d1WrV0slqTVmaiAvX77Epk2bACinb/fv319iPpAlS5bgypUrVame2kilUiQkJJTqGGhsbIyTJ09CLK4+HwcHB6BNKzkS4xTg8f9d/gGA2KyDqGP+g0p7DocDng4XufG5SE1hMGzYd6hb1wBSqbRY+UX/dRy8zhgO9+CTOBB8CjfifoOQrIFOncDp1Amcfzrb8vhTEhEmT54MsViM4OBgnDt3DoByia979+4lGjKAMmlXUlIS7ty5o/4JK0CnTp3g4uICQJn08d69e5g7dy4AwNwcGDNGGdUUG/vvDA2Hk4u3b9MgFuvBwkIHDRoUL9vISA/161tCoWDA4+mBYeSQyYTFN65icnNz0apVK/QspTw6j8fDuHHjsHPnzirUTH1SU1Nx7dq1UoMOOBwOoqKiauTsjEKhwK1bt0rMb2VgYID9+/ez3xcvXoy4uLiqUq8WDVBrzNQwZDIZJk6cyHYIK1asQJMmTUo9xsnJqcZ1IFKpFG5ubmpl+p0yZQrOnz9fbQYNhwN0a5kPyBVQ6PzrUyJnhPjE7Ptij+Hp66AgnwGXUWDAAB78/f1ZR+33cXJS+uW8D4ELOb1jZBgZATY2UDBKK8bGRv1rOHjwIOuE6ezszObd2Lp1q1o5LLp27YrWrVur5DPSBn/88QdWr14Nf3//ItP933wDzJ6tdGoOCwOCgoCoKCGcnGxQr54xOnQASnqX8nhc8HhceHqGgWEU4HC44PEqHpWiSRISEhAeHs76ZZSEjo4Oxo8fD4FAUEWaqUdaWhpevHiBH374ocy233zzDVxdXWtcfwSAzStTEr1798akSZMAAAKBANOmTauR11FL8dQaMzWMv/76C2/fvgUAtGnTptQlmkLatGmDNWvWaFu1cpGeno45c+ao3b5fv35FnAqrklaNRahnlInUAmPI/zEmEnJOQodX/NtTAS7ShCZo01KGDh2A/v374/nz54iNjS3Stl8/pcEkkainS3q60pDp0UO99snJyZg/fz77fe/evTAyMsLdu3cxc+bMUmdl3kUoFKKgOKtLgxgZGWHZsmXFpsDncJQGjbs7sHQp8MsvgJOTA+rWFaB7d4KZWTEC38HCwhDdu9eHv380jI3toa9vrp2LKAfe3t7Izs5Gx44d1WpvYGAAd3d3LWtVPszNzdGlSxe12y9cuBBJSUla1Kh8yOVybNy4US1H2w0bNsDBQZmn6Pr16zh9+rS21atFQ9QaMzWIsLAwtt4Sl8vFgQMH1K6ds3z5cjx79kyL2qmPVCrF/fv3y2WcODg4YMeOHdU2O2NsrochDYNQ1zQXibnGiM68ACeLon5KRIBAqoPEHGM4meZg7iwF69j71VdfwdLSsojzYNeuytmZmBjl8aUhkymNmT59AGv1gpkwc+ZM5OYq/UPGjx+PAQMGAACsrKzKlTOjQYMGyM7Oxr1799Q+RhuYmirLF+jpncCPPw5A3brmkMny1TpWV5cDPT0FGjceBC63etNoicVifPrpp2obMoBydmb69Ok4fvy4FjVTn9TUVJw4caJcGWp1dHRw69atGjGrQUR48eIFfv31V7Xam5ubqyz1zZo1CxkZGdpSrxYNUmvM1BAYhsGkSZNYv4t58+aVqxMElCPr6kYmk2H//v0YO3ZsuY+dO3cu7t69Wy0OwZaNLOHczABDHXzQwi4NOry+iMsxRpaAjwKJLgokusgU8BGXY4ICqS6aGCViyteJqP/pvzM3hoaGuHPnDhLf82LV1wdmzlS+pCMigJICJcRiIDQU+PRTQN0cWhcuXMCFCxcAKDOYbt68GYByhq958+blTmTWpUsXdOzYEZmZmeU6TtMkJydjxIgRaNeuH+zsPkVubhwYRlHmcUJhPGxtHXH/ftEZsqomJCQEPj4+xUaRlYaOjg769OkDhaLs69Umubm5CAgIwM8//1zuY3/55Rds27at2g0ahUJRoi9bSXz77bcYMWIEAGUo+rx587ShWi0aptaYqSEcOHAAjx49AqAcIa9ataqMI4rSr18/1leiuhCLxfjpp58qfHzDhg2rJZMoV4eLRl81ghEE0Of+iek9s/FZwyTo6jCQKLiQKrjQ02HQu2EiJrR9g2+dfNFhuFMRXYcPHw4/P78iBk2nTsCvvypnW4KClEn6cnOVvjRZWcqkcdHRyqKVv/2mnr9MTk4Omy8DALZt2wYrKyu8fv0as2fPLvdLFFDOCMbExCA+Pr7cx1aWgIAArF+/HgAQHByMzMxMcLlcdO48E5aWDZGZGQqFovgXExGD7Owo8Hh6GDhwAcaPn1SpfCGV5e3bt5BIJOjVq1eFjrezs2MN0+qCz+fDycmpwsdPnDhR68uWpVG4vNSnT59yH/tuZe1jx47h1q1bmlWuFo1TW5upBpCYmIjmzZsjP185lX737l3069evQrKICBEREWyYYVUik8mwd+9elRdsRdiwYQPmzJmjtq+HppAKpHAd6wrHFEdYNrKErqEuZAouRDIeOAD0dRUgkRg5MTmo/3l99FreCzr8oksZ6enpMDU1hZ6eXhFjJy0NePhQWVMpJUWZLE5XF2jeHPjyS6Bbt+Kz4BbH5MmT2QiMwYMH4+rVq+BwOPD09ETv3r0r5YP04sULiMXiCr+My4NEIsGaNWuwbt06yOVy/P7775gwYQLq16/PtsnOjsKTJ67IyAgBh8OFoaENuFxdEDEQiTIhkwlhYuKAzp1nwtm5D/Ly8hAQEIDu3btrXf/3kcvlkEqlkEql7AuxIshkMty9e1ctJ3pNk5aWhosXL1a6XtDWrVsxZ86cahmghIeHo1GjRhU+t7u7O5sSw8nJCQEBAR9UCZn/GrXGTDVDRPj2229x+fJlAMDPP/+MgwcPVkrmmTNnMGrUKE2opzYymQynTp1i67VUFi8vL3Tr1q3EkHRt8fzBc+Rfz0fii0QQEQytDcHV4UIhVUCUKQKXx0W9z+qh+4Lu4JuWbGydOHECvXv3Rp06dYrdX+gbU5jC38am/KHYq1atwtq1a8Hn8xEYGIh69eph8+bNmDZtWrEOtuVBIpGAYRgwDAMjI6NKySoNIkK3bt3g7e3Nbqtfvz78/PyKvDikUgESEp4hIuImMjJCwDBycDg8GBvboVGjr+Ds3BtGRrZs+6SkJNy6datCyySV4dWrV8jKylLJ/FoRiAhv375F27ZtNaOYmojFYgQEBJR7mbsk3N3d8b///U8jstRFoVDg4sWLGDlyZIVlEBH69evHRgm6uLhgy5YtmlKxFk1DtVQr586dIwAEgOzs7CgzM1MjctevX68ROeoik8koMTFRY/KePHlCUqlUY/LU4c8//ySGYUgmllH0g2i6u+QunRx6kk4MPkGnvjlF91fcpzivOJJL5WrJu3//PqWnp2tVZ39/f/Lw8CAioujoaJLL1dNNHZ49e0YvXrzQmLyS2LVrF/sMFH7WrFlTYnuGYaigII2ys2MoPz+Z5PKS7xOxWEzx8fHaULtYwsLC6M2bNxqTJ5VKq/xZzsvLo5cvX2pMXmJiIslkMo3JKwu5XE4bN27UiKzw8HDS19dn78vnz59rRG4tmqfWmKlGsrKyyNbWln1Qzp49qzHZYrFY6y/SQmQyGW3YsEHjctevX08SiUTjcovj6dOnxDCMyjaGYUicK6b8lHwS54nLLTMqKoqEQqGmVCwTDw8PEolEGpX56tUr8vb21qjM91EoFNSzZ08CQDo6OrRs2TKNXUdqairdvn1bI7LKgmEYysrKoqSkJI3KlUqlVWJUEhGlp6fTrl27NC533bp1GpdZEunp6SQWl/95LYn169ezfXSrVq2qrE+qpXz8540ZmUxGy5YtI2dnZ9LX16f69evTqlWrSKFQsG0YhqEVK1aQg4MD6evrU+/evSkgIKDS5/7ll1/Yh+Sbb74p8jKtLLt379aovOKQy+V0+fJlrchmGIaCg4NVvgukAhJIBRr/re7cuaNReYUcPHiQEhISNCavpJmXnTt3kkAg0Nh5CsnLyyOBQKD1WbK3b99S165dycfHR+Oy4+Pj6cSJExqX+z4+Pj50/fp1jctVKBTk6empcbnvI5PJKCwsTOPPViEXL17Uitx3kcvltHfvXo3KlMlk1K5dO7av/vPPPzUqvxbN8J83ZlavXk1WVlb0999/U3R0NJ07d46MjY1p69atbBtXV1cyMTEhDw8P8vf3p1GjRpGDgwPl5eVV+Lx3795lHw5TU1ONvvDexc3NTStyC1EoFBox7Eri4sWLFJ0RTcffHqfxF8fTN6e+oW9OfUNjPcbSkTdHKDYnttLnWL16dbk78Lg4ouPHiZYtI5o5k2j2bKLffyfy8CB6f0LMx8eH8vPzK62nTCajrl270ooVK1RGnpmZmRqfkXmXhw8f0rNnz7Qmn0g5qxQaGqoV2QzDkFAopKysLK3IJ1IupWhLfyIiiUSi9eWm7Oxsrc5i+fn5ac1QIlL2RdqYVSIi8vX1JR6PRwBIV1eXgoKCtHKeWirOf96YGTx4MP3yyy8q24YPH05jx44lImVHaG9vT66urux+sVhMZmZmtGfPngqdUyAQUIMGDVhjpqJy1CErK0trLzqZTEZr167VimwiIplCRvtf7acWY1pQ1z1dacDRAfTt6W9p+OnhNPDYQOru3p0GnxhMO1/sJIm8YlO/4eHhanewDEP08iXR6tVEgwcTde9O1Lcv0YABRP37E/XuTdSjB9GwYURbthCFhCiPe/PmDeXk5FRIv3fZsGEDe8+MHDmS3X7o0CEqKCiotPzS8Pf315rR6uXlpXW/loSEBLp06ZLW5CclJVF4eLjW5BMpZx0iIiK0IjszM5P27dunFdnvos1ZDZFIpFWDdfHixezz16NHD5XZ+1qqn/98npmePXvC09MTYWFhAJT5IZ48ecKWuY+OjkZKSgqbVRVQ5l/o3bs3nj59WqFzrly5kq2I/dlnn7H1QLSBubk53NzcNC6XiODt7Y0lS5ZoXDYAKBgF3F644cjbI2gwsAEaGjSEs7kzbAxtYG1oDSczJ7S0bgldri5O+Z/C1udbIWfKn2zv5cuXarVjGODMGWDpEgY3rjHg84EWLYDGjQFnZ6B+faBpU6BZM2Xbc+eAxYsBT09luYnz588jOTm53PoVEhERgd9//x2AsqBfYfmCo0ePYuTIkVqNOAIAW1tbODo6ajwJGhGhXr16sLCw0Kjc9/nkk0/QoUMHEsbcBAAAjKNJREFUrRRlff36NXx9fdGoUSONy34XhmHYUieahIggl8sxYcIEjct+n+XLl8PLy0vjchmGwc6dO7V6H61YsQINGzYEoIy23LNnj9bOVUv5+c8bM4sXL8bo0aPRrFkz6Orqol27dnBxccHo0aMBACkpKQBQJJ23nZ0du688vHr1Cn/99ReAsitia4LCF5+m06MzDKPVDKXXw6/jUsglOBg5wNHcEfEv48HIVVPncjgc2BrZ4hOTT/B32N+4HHK5XOfYsGEDRo0aVWYeCiLgxAlg53Y5skNSoZ8SDb4sv5hq2ACPB9jbAy1bAkIh8NdfwJ07yoyoBQUF5c5Gqjw/YcqUKWyph9mzZ6Nr166QSCQYPHhwleS+sLW1xevXrytswJfE+fPnIRAISjXGRCKRSuh2RXFwcMBnn30GibpFstQgOzsbtra27OBHm+jq6mLw4MHYtm2bRuXm5OTgwYMHapdOqSwVeQZKg2EYnD59WqU+mTYorrJ2dSSXrKV4/vPGzJkzZ3D8+HGcPHkSvr6+OHLkCP766y8cOXJEpd37LzwiKncypvcrYv/+++9o2rRp5S5ADTgcDnr06FGkZlBFUSgU2LBhg9YSqskZOa6GXYUORwcWBsqRVrP+zRB8OxiMoug1mOmbwUDHAFfDrkIiV+9FlZGRoV4yL7kI9z0lOHoU0FOIYCDOgTRPgvyk0msFcTjK2RqGAXbsAAICOEhMTGQTI5aHQ4cOsfWSnJyc2CzP7u7uVZpY8PPPP4ednR3i4uI0Ii8gIAC9evUq9Rl4+PAh2rRpgwEDBhTJqlxeeDwe8vLycOnSpUrJeZfc3FykpqZWWVI4Pp+PqVOnaqxeUHZ2Nv7++298/33x1eG1Qd++fTWeqbxbt24alVcSffv2ZRPpFRQUYPr06dVesqEWJf95Y2bhwoX49ddf8cMPP6B169YYN24c5s6di3Xr1gEA7O3tAaDILExaWlq5iq8BwKZNm/DmzRsAwKeffoqFCxdW/gLUxNnZGa6urhqRFRERoXbhtorwKukVIrIi4GDioLK9Ua9GRWZnCrE3tkdMTgxeJL5Q6xznz58vvQhjfgTg/ycYrzEwDxyDb5ptRcvm2eCb6UPPWA/Gduot6zg5KcsVXLoE9OnTB1euXEFqaqpaxwJFK2Lv2bMHxsbGuHr1KsaPH1/lGUl1dHTA4/E0IovH45WYpVihUGDKlCno06cPwsPDkZeXhxkzZlT6xeHk5IRevXrhwYMHlZIDKJekg4OD0b59+0rLKg9EpLHlMj6fjyFDhmhEVnlYtmwZQkNDKy2HYRhs2LBBJVu0ttmwYQP7Xvj7779x9uzZKjt3LSXznzdmhEJhkWUeHo/HzmLUr18f9vb2uHPnDrtfKpXi4cOH5UqVHh4ejhUrVgAof0VsTcDhcLBkyZJK1xhRKBQICAjQ6kg0JCMEUoUUhrqqef35xnwE3yp+dkZfRx8yhQwhGSFlyt+1axemTJlS8jUIEwC/FUDyDeTmMBALJRjQ7CyGt1qHxn0sUK+XE0zrmKl1LRwOYGcHeHsD8fHA2LFjweFw1J4lmz17NnJycgAoj/3yyy9BRGjRooXW/WSKw9nZGcHBwXj+/Hml5Hh4eABQVvYuDh6PV6SC+uXLl9njKoOlpSUaNmxYKcNIJBLB2dkZX3zxRaX1KS/6+vr48ccf4e7uXik5OTk5OHXqVKVKLlQUDocDPz+/SskgIty+fVurA6visLCwUKmsPXPmzGovzFpLrTGDIUOGYM2aNbh27RpiYmJw8eJFbN68Gd9++y0A5UPn4uKCtWvX4uLFiwgICMCECRNgaGiIH9Usbfx+RWwXFxd06tRJa9dUEhwOB5aWlhU+XqFQYMuWLWxFWW0hkotK3Nd6aGtEPo4s1qDhcrjIl5a+jCMWi/HDDz+UbowlXQcE0YBZS8Sk2CG9wBHp4qb4xDAAza2fQNegfEaolRWQnQ08eKD0e3j69Kland+lS5dw/vx5AIC1tTWbSn3Hjh2wtbWtlno3gLKgqZOTE9LT0yt0fFxcHL744gs0a9as1HabN2+GzTsVN7t06YLmzZtX6JzvwufzIZfLcfLkyQrLSEhIwOvXr6t0QPIu+vr6GD58eBGDT13y8vJw//79Ki8z8C7fffcdNmzYUCkZ1tbWGtKmfAwfPpx9R2RkZGjdX6eWsvnPGzM7duzAyJEjMX36dDRv3hwLFizAlClT8Oeff7JtFi1aBBcXF0yfPh0dO3ZEYmIibt++DRMTE7XO4e7ujocPHwJQzvT88ccfWrkWdejYsWOF16szMzMxe/ZsDWtUFD1eKcs/AOxb2Be7nUBFZnPex83NreyIh9wgQMcIcgUX6ekAXx9QkB4AgpV+dOnHFgOHAxgZAYVBHMOGDcPdu3eRlpZWpq6FbNu2DdbW1nj69Cn+97//qX3vaQMOh4OMjAzk5uZW6Pi0tDTk5+eXaYxZWVlh+/btMDIywrZt2+Dl5YWWLVtW6JzvU79+fQwYMIBd9i0PgYGBiI2NrVA1Zk2ir6+PAwcOVOhYAwMDjdVeqgwuLi5lPgfFQURYu3ZttV6Dm5sbzMyUM7RHjhzB7du3q02XWmqNGZiYmGDr1q2IjY2FSCRCZGQkVq9ereJPweFwsHLlSiQnJ0MsFuPhw4do1aqVWvKTkpKwYMEC9vu+ffuqZXmgEA6Hg2XLluHVq1flOo5hGFy+fLl0PxMNUde0LrgcLqSK4qMeTGxN4HfJT2V2Rs7IweFwUMe0+MKOAHDy5EnMnz+/7BkNPUtAIYFcrnTg5XEBgMDlMJAoKmZE8PlAbq4yMgpQVrk2MjIqdanj2rVr+O233zBs2DA2uk5XV7fKq4kXR+vWrREbG4sXL9TzUSrk8uXLMDAwKLEA5/uMGjUKERERmD17tsZ8dQrh8/nlnlmRy+Vo0KABunbtqlFdKoKBgQH+97//4cKFC+U6Ljc3F3v37kXdunW1pJn66Orq4uLFi+U+ztfXF8uWLdOCRurj6OiIjRs3st+nTJkCgUBQjRr9t/nPGzMVJS4uDosWLSozPHnmzJnIy8sDAEyYMKFa1tjfh8PhlGs0xDAMdu/erdV8OO/SrW43OJo4IlVQsqNs2xFtkfAmgTUG0gRpsDOyQ896PYttzzAMunbtqt7SjF1fgKsHiJJBROByFLDSj0WB3AqReT0qdE0cDiB/Jw2OqakpLly4UGpUCp/Pxx9//IELFy6Aw+Fg+/btaNKkSYlOs1VN79690axZMxQUFKjVPiMjAwMGDCjXUhGHw2GdLTWNqakp9PX1cerUKbWPiYiIwP3796vc8bok9PX10bZtW7V9sMRiMV6+fImZM2dqWTP14HA4mDx5Mnbs2KH2MURU4SVOTTNx4kR2hi4mJga//fZb9Sr0H6bWmKkAp0+fRsuWLbFx40YVR7D38fDwYEcdtra22LRpU1WpWCZffvkl1q5dq1ZbiUSCMWPGaFmjfzHWM8bAhgORK86FWF6yT4ChhSFAgEQuQaYoE/0a9IO5vnmxbV1dXdWPeLDpCdQfCx6PgZN5EByMQyFRGOFh0nSkiRpX4IqUhoyxsdKoKWTcuHF4+vQpsrKySj2Ww+EgODgYU6ZMYae1awI6OjoICAhQO9dGSEgI4uPjtZpXqbw0bNgQgwcPZpNYlkZERATS09OrJKeMuhQae+rmntGmcVhROBwOxo0bB5GoZF+5QogI69atw5dfflkFmpUNh8PBvn37oK+vDwDYunVruWcra9EMNadX+YCoU6cOOxpdunQpYmNji7TJzs7GjBkz2O87duyolPOtpuFwOPj1118RExNTarvCWZmqjngY2WIkutXthoisCAhlwmLbWDewhs85H4RmhKKjY0eMbjW62HaFEQ9qO8xyOECDCeB12Y17actw+OVvOB62D4FZX1X0cpCfDzRpUnR7p06dVEb5Bw4cQGBgYJF2iYmJGssTpEm6d++OtLQ0+Pr6ltru1q1bsLKyQpPifoRKIBQWf2+UB5FIVOZIn4jwySeflOm0XB0YGhpi6tSprF9eSeTn52PPnj0a8zvSJGZmZti9e3eZ7WJjY6s8eqksGjdujJUrVwJQ3icTJ07UeGLAWsqm1pipAD179sS0adMAAAKBAFOmTCni+7Bw4UI2n8iQIUPw3XffVbmeZcHhcPD48eMS9zMMg5MnT2LevHlVqJUSE74JlvRcgl5OvRCfF4+QjBBki7IhVUghVUiRI85BSEYITPqZoKG4IZb3Wl7irIy5uXmFZgO4JnXh1PUrPIsegFxxxaMmhEJAVxcoboXR0dERhw8fRmZmJt68eYOpU6eiXbt2KrNmu3btQseOHWFgYFBhHbRJp06d0Lx58xI7cIFAgF69emk03X92djYmTpyIHj16QCaTVUqWnZ0drKysSs0XEhISgps3b6pEV9Uk+Hx+qb54CoUCYWFhmDNnThVqpT4cDgdz587FsWPHSmxDRHj8+HGNmtkrZN68eWjbti0AwN/fX8WXppaqoebdFR8Irq6u+OSTTwAoR50nTpxg9927d4/NAWFiYoJdu3ZVWxhtaXA4HIwdOxabN28usU3PnsX7oFQFVoZWWNlnJVb2WYludbuhQFaA2NxYxObGIk+ah86fdMaK3iswuvFoWOkXn6+kshEPPXsq88RUIOCCJTlZWcOpXbvi90+ePBm+vr745ZdfoFAoIJPJIP/HwSYpKQmTJk2qllwg6mJoaIinT5+WmATt+fPnCA8P11gYs4eHB1q0aAF3d3e8efNGI8u3DRs2xJAhQ4r1JUtKSoJAIGBDcWsiXC4XzZs3L/FZlkgkGpnF0iYcDgefffZZsTOQRIQtW7Zg3Lhx1aBZ2ejq6sLd3Z11Ul+1ahVCQsrOeVUR1q1bh06dOsHExAS2trYYNmxYkWePiLBy5Uo4OjrCwMAAffr0KXbG96OiykpafoRcuXKFraJqZWVFaWlpJBAIqGHDhux2bZWk1yRCoZCys7NVtjEMo9WK2OWFYRiKzYmlN8lv6E3yG4rOjlapdr127doiVWx9fX01Utl2925lhezx44kmTy76+d9kMY2ZmkA/Tykosu+HH4h69SIqq2DzwoUL2XumZcuWJJEoq4B7eHhopOJ2VfD06VMKDAxU2fbo0SMKDQ3V2DlkMhm1bt2a/a0AEJ/P18g5oqOj6f79+0W2Z2dnU3R0dKXlVwUSiYT8/PxUtuXn59O2bduqSaPywTAMrVmzpsj27OxsEgqF1aBR+Xj3Oe7Zs6dWKmsPHDiQDh06RAEBAfTmzRsaPHgw1atXjwoKCtg2rq6uZGJiQh4eHuTv70+jRo0iBwcHysvL07g+NYVaY6aSjBo1ir15f/zxR1q0aJHWb2ZNwzAM7dixQ+X79evXq1Gj8qNQKCgyMlJl27Vr11QMHnVgGKK4OKK3b4nevCGKiiLKzSWaO5eoW7eiBs2oaWHUdOFEqvvrV9Rg0ff09cz77L7Ro5VG0Jo1RFJpyeeMiIggAwMDAkAcDoeePXtGREQHDx6kzMzMcv8W1UVmZiYJhUL2npfJZJSdna3SyWoCb29v4nA47HNmbGxMl8qyFtUkPDycLl++zH4PCQmhs2fPakR2VSCRSOjOnTvsd4ZhKCoq6oPohwp5v/9hGIa2b99ejRqpT3UMZtPS0ggAPXz4kIiUv5e9vT25urqybcRiMZmZmdGePXu0rk91UbvMVEm2bdvGJmE7efIku1aqp6en9YrYmoLD4WDGjBnYt28fu628daeqGy6XC29vb3aKujDiQd3lPakUePQI+O03YOpUwMVF+Zk2DVi5EujaFWjfHggPVy45MQzAQA4/403I0QmCLmMKMTcDAUbbkEuJSEpSli8YMACYM0fpM1McRITJkyezkRyjRo1Chw4dkJeXh++//75GOY2XhaWlJe7fvw9/f38AgKenJ6KjozWeV6lz586s78fgwYMRFBSEb775RiOy69evjy+++AL5+fnIzs4GwzA10t+tJPT09NC1a1c2ukkoFOLt27cfRD9UCIfDga2tLQDl87Fv3z7MmjWrmrVSD0NDQ5V+dNGiRUhISNDqOQuTVxb2FdHR0UhJScGAAQPYNnw+H71799Z41fuaxIdzh9dQ7Ozs2DTzAFQqYtfEyIeS4HA4GDZsGCQSCdasWVPlxfM0wejRo7FlyxZER0dj0aJFanfg2dlKg+X334HHjwFDQ2WBSGdnwNwc8PVVVr6WSoF+/QCFAggKAiIScpDLJIIvcwRPZgY9kTNyJFkITkiEri4wYQLw66/K7L8lcfjwYbYidr169TBp0iRIJBJcvnwZEol6FcBrEoMGDQLDMLh+/TqaNGmCdiU5ClWSP//8E+fPn8fVq1c1mvyNx+MhPj4eT548gVQqrbRzcXVgbGyMGTNmIDQ0FEeOHMGwYcOqW6Vy0759e6xevRoymaxG+yoVx+eff86WidB2ZW0iwrx589CzZ082kWthUeT3B6R2dnZFCiZ/THBIW7/yfwgiQtOmTREeHg5AmYY9KSmpSrLlahKGYeDi4oLt27dXtyoVRiwW4/Dhw5g8ebJaxkxBgdKQefYMqF+/ZMNDIlHOyrRoAcyeDQQGAtduSuFpNBEivVgYiBtAzk+DgQEHyztsx8h+DVBW1YSUlBS0aNEC2dnZAIAbN27gyy+/xMSJE7Fs2bIqrQSsSeLi4pCfnw97e/sSC0nWdDw9PfHgwQOVsiYfEgKBAOfPn8eoUaPYHCgfGgzDYM6cOeVKqFdTyM7ORosWLVjjwdLSUq1oRHt7e7x8+VLt88yYMQPXrl3DkydP2KzaT58+RY8ePZCUlAQHBwe27aRJkxAfH4+bN2+W82o+DGpnZjRARESESq6ZYcOGYevWrZBIJGwdpNWrVyMpKQnu7u7w8fHBrVu3cOHCBQQFBWH79u3Iy8tTaZuVlYWdO3fCz88PV65cwbVr1+Dr64u9e/ciPT1dpa1QKMSmTZsQGhqKs2fPwtPTE0+fPsXhw4cRHx+v0lahUGDdunWIjY3FsWPH8OTJEzx48ACnT59GREQEBAIBTp48qXJMSkoK9u/fDx8fH9y8eZMtuLljxw7k5uaqtM3JyYGbmxv8/f1x6dIlXL9+Ha9evcK+ffuQmpqq0lYkEmHTpk0IDw/HmTNncO/ePXh5eeHo0aOIi4vDmjVrwDAMVq9eDYZhsGbNGsTFxeHo0aPw8vLCvXv3cObMGYSHh2PTpk0QiUQYPnw45HI5Vq9ejdTUVOzbtw+vXr3C9evXcenSJfj7+2PbNjfcuZODESNWw8UFOHFiNerWzUV09A5kZQUgOvoi4uNvIi3NB8HB+yEUpiAwcDWaNgVu3VqNCxfEiI/fiF8XxmJs3WZoosuDheFb2BYkYWGfwcgIPwNTU4XKtcbHx+Pw4cN4+vQpPD09cfbsWfzyyy+sIdOmTRt8+eWXWLVqFVxcXHD8+HG8fPkS165dw5UrV+Dn54edO3ciKytLRW5eXh62b9+OoKAgXLhwAbdu3YKPjw/c3d2RlJSk0lYikWDDhg2IjIzEqVOn8ODBAzx+/BjHjx9HTEwMXF1d2d+u8JiEhAQcOnQIz58/x507d3Du3DmEhIRgy5YtKCgoUGmbkZGBPXv24MqVK9i8eTNOnDiBN2/eYPfu3cjMzFRpm5+fj61btyIoKAgeHh64ffs2vL29cfDgwSJ6y2QyrF+/HlFRUThx4gQePXqER48e4cSJE4iKisL69eshk8mKPGsHDx6Et7c3bt++DQ8PDwQFBWHr1q3Iz89XaZuZmYndu3fjzZs3uHr1Kjw8PCAUCmFmZobk5GSVtgUFBdiyZQtCQkJw7tw53LlzB8+fP8ehQ4eQkJCg0lYul8PV1RUxMTE4fvw4Hj9+jAcPHuDUqVOIjIzEhg0btNpHnD9/HkePHtVoHxEeHo6NGzdCLBZrtY8gIowePRpffPGFxvuId3UpqY9wc3NDTk6OStvc3Fzs2LEDAQEBuHjxIm7evAkfHx/s378fKSkpKm0NDAzQv39/9p2QlZWFxMTEMj/lmTmZNWsWrly5gvv376uUBylMivi+rLS0tA/OfaA81M7MVBIiwueff44HDx4AAMaOHYsuXbrUmHTh6kL/ZNZcunQpQkND0aRJkxoZTl4aubm50NXVhaGhIfbs2YMpU6YUuYb0dGDdOuD1a0AsBiIilPWSnJyANm1K9m0pJCNDudy0ezdQ2H9kCDOQmJcISwNL1DVTf8nDy8sLEydOREZGBoKDg2FtbY39+/fj22+/hbe3Nz777DOYmpqW92eoVqKiomBgYAAHBweEhYXBwsKixuZmKYmEhARER0fD0tISkZGRGDp0aHWrVC6EQiHOnTuHn376CUKhEDKZrEZljlYHIkJYWBiaNGkCV1dXLFmypLpVKjfr1q3D+vXrWZ8WQ0PDMovcqjMzQ0SYNWsWLl68iAcPHqBx48ZF9js6OmLu3LlYtGgRAEAqlcLW1hbr16/HlClTKnFVNZiq9zn+uNi/fz/rue7s7EwFBQUkkUgoLCysulUrF+9GPCgUimLDI2s6bm5uJJfLiYjo/+2dd1gUV/fHv7sLLEU6IoIVLIhgx4JGjd1YY0miSdQYNXaJxhJ9jb6JPfaGvUTsvStoAEEUkSK9iAhI752t9/fHvExY6u6yy+7mN5/n2Qd25s6dc3famXNPyc7OJhUVFRLrxWJCNmygopK++46QsWMJsbIipF07Qlq0oCKPagu9rvqZN49q5+6uGJkrKipIaGgoIYSQ58+fk7y8PHrdsWPHNCYsu5LY2FiSkpJCCCEkKiqKpKWlNen+xWIxuXLlClmzZo1c279//57cuHGD/p6UlETevHmjKPGahIqKCpKdnU0IIaSwsJCcPXtWtQLJiFgsJn/88Qf9XSQSkQ8fPqhQItmJjo4mIpGIpKamEiMjI/oZ4eHh0ei+Fy1aRIyNjYm3tzdJT0+nP1VD13fs2EGMjY3JrVu3SHh4OJkxY8a/PjSbmWZqBGlpaVi1ahX9/fjx4zAwMACfz5eq1ou6QAiBv78/7WPCZrOxbt26BtOjqxOnTp3CwoUL6aRVFhYWOHjwoITjXVwc8PYt0Lo15eRbUkJZZXR1qarWaWmUtaY+2GyqbXS0YuTmcrno3r07nS7f0PCfqtxz5syBUChUmvOgonn69CkKCgpok3eXLl0QEBCAiIiIJtn/p0+fMHHiRHzzzTfYtWsX7VgtLUKhEBYWFhg/fjy9zMTEBFZWVhpzDMrKynDy5ElYWFAZq42MjDBlyhSZimmqGm9vb/znP/+hv7NYLI2LwomNjaUtJIqurO3m5obCwkIMHToULVu2pD9Xr16l26xZswaurq5YvHgx+vTpg9TUVHh4eEjcX/5tMMpMI1i2bBldEXv27Nl0KFyzZs3g7OwsEaKnrhBCsHfv3hqFJFksltpUZ24IgUCAiRMn0opMJatXr8bVq1fpB1FKClBaClRa3IXCfwo/crmUk680BaA5HKpEgTx8+vSp1krrJ06cgJmZmcRvzuVy8eTJExQXF8u3syYkMzMT/fr1g7Ozs8TySZMmwczMTOlj4PP56N+/Px48eEAvmz9/vkxZb9PS0uDn5wcul0svMzIyQmFhIe7du6dQeZUBj8fD06dPa0xxGxoaYvjw4RoRmUUIqRE4wWKxMHPmTLUq1Fsfe/bswRdffEHfj+bNm4chQ4YAoMKmf/vtt0b1T6j8cDU+c+bModuwWCxs3rwZ6enpqKiogI+PDx3t9G+FUWbk5NatW7h16xYAoHnz5jUuNDMzM8yZM4euz6SuFBQUSBTErITFYmHAgAFSV9ZWJQcOHKgzH0vv3r3p/7lcyrLyv0oB0NKiLDMAlTeGzaYUlYaorIAtKxUVFRg+fDg+++wzREVF0ctDQkIwc+bMWn1Lvv32W9y9e5dWmtWVjIwMZGZm1vBRYrFYSE5ObrAyeGPR0dGp4Vfx4cMHibfV+khKSkJ4eDjGjRtXY52joyP69+9fZ7kGdUFLSwvdunWrsZzFYoHL5dIlVtSZrVu3YuDAgTWWV+bCqnSYV1cyMjKwfPlyidIdbDYbJ06coJXkffv2ITAwUFUi/mthlBk5KCgowOLFi+nvhw4dqjUEtaSkBH5+fk0pmkwQQnDp0qU6Qzcrp5uaappAHm7fvg1XV9c6rUgdO3bE9u3bQQhBjx5Ay5ZAaiq1zsiIssyIRJTFxsjoH6tNXYjFlAOwPC85f/zxB+Li4vDq1Su6UClAWZbqs4KNGzdOrcP8nz9/DoFAgM6dO9e6vn///ggLC1N6bZhFixbBxcUFAJVT48aNGxJvq3VBCIGlpWWtD9GqqGPV8koqKiqwf/9+2NnZ1bre2NgYM2fOxNOnT5tYMukJDw/Hhg0b6lzP5XLVfrqsrrDnTp061aisrQmWMk2CUWbkoGpF7PHjx+Orr76qtZ2ZmRmGDBkiUYRSXSCE4Pjx47VaZaqTkJDQBBLJDiEEXbp0aXA6bP369Xj+/DkMDYFZs6hlMTGAjg4VvZSTQ/3fqRNlnamPnBzA3Bz4n9VYat69e4ddu3YBoIrSHT16FABw8uRJtG3btt4cFGZmZjh37pxaTjcVFRXBxcWFrhhcF6NHj0arVq2UmgiQzWbj1KlTmD9/PqKjozF16lSpIvKSk5Nx//79eot5tmjRAnw+Xy2nm0QiEV69eiXhv1cbBgYGaN++vdr6/yQkJNR7vFgsFhYuXIjjx483oVTS4+bmhpkzZ9ZZUHXVqlX0dRIWFsZU1lYwTGi2jHh5eWHYsGEAqLnoqKgoiRj/6hBCUFxcDA6Ho/C07o2Bz+ejqKiIdhSsD5FIhD179tBhfuqAQAD8/PMOjBz5CwjRgoEB0K0bVeG6Nl6/fo1+/foBYMHTEzhxggrLzsuj/GTs7YGuXetXZvh8IDYWmDIF+OUX6WUVCoUYMGAAHXK5adMmbN68GR8+fIC1tbXUSc1u376NUaNGqdV59ObNG2hpaUmVMdrT0xN2dnawtbVtAsmkIz09HdHR0fQ1XR+EEBQVFaGkpAQ2NjZNIJ10CAQChIWFSUyp1kVBQQHc3d3VLnXEjh07sG7dOqna5uTkwMjISK2slaWlpRCJRA2mUggKCkLfvn0hFouho6ODsLCwOi2aDLLBWGZkoLy8HAsWLKC/79ixo15FBqDeJng8Hm7evKls8aSGEIIDBw5IpcgAVIr3lStXIi0tTcmSNUxpKXDrFjBlii8iIn7B7t1a2LMH+P13YP584M8/qey81enfvz82b94Kd3eC8+eBzEwqiqllSyrrb2Qk8PffwMeP1FRSdcrKKEWmVy/gf5nKpebAgQO0ItOlSxfatyMxMZGuySQNPXv2lHBOVTV+fn7Q1taWuvTFyJEjER8fj7i4OCVLJj2mpqZSP0xYLBby8vLUyg+Ox+Nh//79UikyABWd9cMPP6iVz0ZaWhp+keHtwMzMTO2ylJ89e1aql5LevXtj5cqVAKgXyvnz56v19KUmwVhmZGDdunXYuXMnAGDgwIF48eKF1PV/cnJy8OrVK0yYMEGZIjYIIQTXrl3D119/LdN2IpEIFy5ckMoHQVnk5AA7dgABAUB5uR/s7QfCwIAyS4vF1PrsbMDUFFi8GBg79p9ti4uBbdsInjwJg5VVd1hZUVNLAGXlCQ4GkpMp/5k2bQAnp3+ilrKzqf+dnYE1awApdUAAlBOqo6MjysvLwWKx8PLlSwwYMADnzp3DgAGO4PFiUVycCoGgHFyuIczNO6NNm0HQ1a3deefAgQP48ccf0UweD2QFwuPxIBaLQQiBvr6+1NsVFRVBW1sbOjo6NaLPmprk5GT4+Pjg+++/l2m7d+/eITU1FV988YWSJJMOQgjCwsLQrVs3mRJc8vl8hIaGom/fvkqUTnpOnz5N1zKSFrFYjBs3btQ5xd+UXLp0CVOnTpX6RaOsrAxOTk50+g43NzcsXLhQmSL+v4BRZqQkJCQEffr0oc2D7969k6mQpFgsRnp6OqysrFR6EyeE4P379zWyRkqDUCiEm5ubSirYlpYCmzYB/v5ARcUO9O69Cmx2zblpQiilhMUC1q4Fhg6lFJQtW4CnTwEu9z46dhxf4+ZPCJCbS009ffoEWFkBNjZUBFTv3lT1a2fnhjMES/ZJMGrUKDx79gwAsHTpUhw6dAixsa+RkvIYWVlBqKjIB4ulBRaLDbGYCrNq1swKdnYj0LXr19DVNanR799//43PPvuszrn5psDf35+OeJOVu3fvwsHBQa5zsDEkJSUhOjoaY8aMQUFBAWJjY/839SgbIpEIfD4fFRUVDWZ0VSY8Hg/e3t4YPXq0zNvm5eXh8uXLUvnMKZP9+/fD1dVVrm3j4+PRoUMHlWYqF4lESEtLk7nY6fPnzzFixAgAVCqPmJgYtZq61ESYaSYpEAqFmDdvHm0O3Lhxo8wVsdlsNrS1tXH27FlliCgVhBBs3bpV7oeIlpYW5syZgxJpkrEomCdPgNevgebNo9C79+paFRmAUmLatqX8W06epCwroaHAixfU8k6dJiA0dEcNJ0gWi7K49O8P9OtHKTObNwNnzlB/XVxkU2QA4Pz587Qi07p1a2zbtg2pqYE4fXoVwsIegcPhwsKiKyws7GFu3gnNmzvA3LwThMJyhIaeh5fXRpSU1KzVYmZmplLTdEhICIyMjORSZAAq90x6ejqSk5MVLFntiEQiHDx4EF27dsU333yDtLQ0sNlsuVP8czgcJCQkIFpRmRPlgMfj4fDhw3IpMgB1Ds2bN0+lU34lJSUyW2SqYmdnh+3btytQItk5cOAALC0tZd5u+PDhmDt3LgDlV9b+/wKjzEjBvn37EBwcDIDKOSGvI6ylpSWmTp2qsnBtLy8vicya8qCnp9fkCplAADx+DOjpATyedJFVbdpQSfJevQKePaOUm0rfvO7d16C0NLXObW1sqEzAHz8CjSkrVPVBcezYMVRUfMLu3ctgbS1Ghw49oK9vUeOtks3WgqGhDczMOiEtLQh+fjvA40nmmOnRoweOHj3a6Eyi8iAWi2Fra9vot8hOnTqhefPmSr+Bl5eXY9CgQVixYgVKS0tRWFiIH3/8Ebdu3ZL5haQqjo6OMDIykjnLsKLIzs6W26JRiUAgkCiQ29ScOnWqURlp2Ww21q5dCy8vLwVKJT0eHh5YsmSJ3H5su3fvpgs/3rt3Dzdu3FCkeP/vYJSZBnj//j02btwIgHIAPH36dKO86A0MDOpM8KZspClB3xBaWlpYtGgR/vrrLwVIJB0hIUBCApCfvwetWo0Gm93wNJ2ODhWZdO8epdBU9XNhszlITfWs80HKZlNJ8Tw9/0mqJw/btm2Dr68v1q9fj7FjxyIg4BQ6dADat3cEi1X/paelxf2fQvMW79/XzA3y888/Iy4ursktNC9fvsS7d+8aPb1iZWWF+/fvKz3sX09Pr4Yl8smTJ/WGYUtLx44dMWDAAJmcuBUBn8+Hj49Po6ermzVrhl69euHkyZMKkkx6zpw502hlDKAUGlU5xVtaWjbqWWBqaorDhw/T35csWaL05JL/Zhhlph4IIViwYAGdG2PFihWNdprT0dGBmZlZk99AtmzZIve0QHW0tLQwfPhwCCtT6SqZzEygrCwdPXuuAIcj/c3D0JBSgioqqFpMVenc+QeEh++vU6HR1wcKCymLTmMYNGgQtm7diry8eDx+/AxaWs2ldhrX0uJCS0sf798/hkhUU5D8/Hyl5m2pTnx8PKysrDB48GCF9PfVV18hPz8f2dnZCumvLvbu3SsRuTd58mQMHTq00f1yuVxERUUhICCg0X1JC5/Px4kTJ2qUH5EXc3NzzJ49GxkZNaczlYVQKJR7eqw6LBYL/fr1a/JM5X/++Sfs7e0b7a8zdepUTJo0CQBlbZMlqotBEo1QZoqLi+Hq6konF3NxcZEILSSEYPPmzbC2toaenh6GDh2qkGyjZ86coU2Y7dq1w5YtWxrdJ0C9lX7zzTdNlln33bt39WbWlAdLS0vs379foX3WhUAA5Od7ghDZrBBsNuX8W5d1pUuXBRAI6vf/UZRv4aVLh2Fnp4OWLVvKtJ2hYUvk5yciLe1tjXXDhg3DsWPHZKo/1BgMDAwUnuPGxMRE6Y7MFhYWOHDgANq3b4+1a9fi9u3bCrHMAFSorZWVFV6/fq2Q/hqCx+Phhx9+UGifxcXFePXqlUL7rI8///xToc6uHA4H69atQ3h4uML6rI+goCCsWLFC6vxQ9cFisXDkyBE6P83Zs2dpPzsG2dAIZWbevHnw9PTEhQsXEB4ejlGjRmHEiBFI/V9e+l27dmHv3r04fPgwAgMDYWVlhZEjRzYqY2p6enqtFbEVBYvFajJH2qSkJIV7/Gtra2PFihV4+PChQvutDS8vNzRv/g1YLNlMunw+VZ6gskJ2dbS1DRAbe6ZW60xJCWBm9k/4trSsXr0ahw8fligmKRKJYGEhgKmpoczHQUtLF4SIUFT0qdb1y5cvR05OjtJ9T/z8/BAXFwdra2uF9tuxY0c8fvxY6dNN06dPx/Pnz7F161aF921tbQ17e/taC4gqEoFAgAsXLihcoTQ3N8egQYOaJFP53bt3a9TQUhQfP35USr/VKSoqUmhEqo2NDZ0dHAAWLFjQZC8o/ybUXpkpLy/HzZs3sWvXLgwePBgdOnTA5s2b0b59e7i5uYEQgv3792PDhg2YMmUKHB0dcf78eZSVleHSpUty73fZsmUoLCwEAMyaNYuuiK0omjVrhrZt2+LMmTMK7bc6O3bswMSJE5XSt5aWFlq3bq3UB2lJSQmWLfsOZmY6yM2VfjtCgKIiYNgwYPBg1Lmtk9MKxMaelhiDWAyUlwOyWsJ9fX2xe/duLFu2DGPHjqX7vHTpEni8UmhpyW+BEAprn07icDgICAhARUWF3H03RFpaGtq1a6eQqZnamDFjBgQCgVLLNeTn5yM2NlYpaRGMjIwQFxcHb29vhfddiUAgwKVLlyRqwikSCwsLTJw4UakvWIQQpWV/ZrPZ+OKLLySUAmWwZ88e9O/fX+Hn0fz58+npW0VU1v7/iNorM0KhECKRqIZJT09PD35+fkhMTERGRoaEssHlcjFkyBD4+/vLtc/bt2/TGXubN2+OvXv3yj+AemjZsiVmzpyptBDV1NRUrF69Wil9A5R1qUuXLkq9gfz1119o21YHLi5AVpb0Drn5+VT00rBhwPDhlHWmroK7bdqMAyH/+P+kp1MOw7LUX6qoqMC8efPo7+PGjQOLxcLr168xZswY2NhY0XlkZIUQAi2tuk3a06dPx5kzZ5TmiFpeXq70N8XS0lKlyZ+eno5nz55hzJgxSukfAPr27Yv27dtLVENXNIp+oaoKi8VCeXk57t69q7R9bN26FY7yVGiVEg6Hg1WrVtEWe0Xz4cMHuLq6KiSQojpsNhsnT56knZn37t1LZw1nkA61V2YMDQ0xYMAA/PHHH0hLS4NIJIK7uzsCAgKQnp5OO661qFaUp0WLFnI5tVWviH3w4MFaK2IripKSEsTGxiqlbw8PD6Un6NPW1saqVauU4gR58eJF/Pjjj+ByuRg3DjAxocKtG4LHA9LSgAEDADs7qsL1yJHUstpe/vX1WyIsbA8AKotwSQnw1VeALOkjtmzZQodi9+vXj659Y2JiAgMDA1hYdIFQWCGzFUsgKAOHow0Tk3b1tvvhhx/Ab6y3ci34+/sjJSUFnTp1UnjfVenduzeePXuGxMREhfZbmaF48uTJdbYRCoVIT09v9L6aNWsmd+6a+hAIBDhw4IDM/layYmlpiVGjRimlmObLly+xYcMGpSe4I4Tg+fPnSuk7NDRUqZWuO3XqhE2bNgGgxvHjjz8ylbVlQO2VGQC4cOECCCGwsbEBl8vFwYMHMXPmTIkHdc2MrkSuC2ft2rW0EjRu3DiZ0/7LioWFBRwcHBQ+X71v3z6FOwrWBZvNVvibu0gkwtChQ+k3lW7dgIULAaEQCAqiaim9eQO8fEllBY6IAJKSKKtKfDzQpw+wfDnlwMtmA0uXAmPGAKmpVJbfquISAtjaroOf3y0UFAAzZwLffCO9rGFhYXSZC21tbZw+fRocDgcXLlyAnp4e9PX10a7dUOjqGqOiog7zUB0UF6fD3LwjWrbsWW87fX19XLt2TaHTTQUFBejSpYvCopca4ptvvgGXy1WoUpaVlYWnT5/WWXIhLCwMAwYMwLhx4xodnWdpaYnk5GSFOnCKRCI8evSoyaJczMzM4OzsrHD/Hx6P1ySZerW0tDBz5kyF1246cuQIxowZoxCn3/r45Zdf0L17dwDUubl7926l7u/fhEYoM3Z2dvDx8UFJSQlSUlLw5s0bCAQCtG/fHlZWVgBQwwqTlZVVw1rTED4+Pjhx4gQA6i3Lzc2tSS5Aa2trTJ06VWE5BoqLizF//nyF9CUNbDYbAwcOVOh0U3WLmFBIRSaxWFS5gvBwKqldZiaQkQFERVFKTUAANb20fDllyalET48qb/Dzz0CHDpRSExUFREdTf3Nzgd69O2P9eoL58+uvnl0VkUiEH3/8kX4Q/vrrr+jatStiYmIwYcIEtG3bFgBgYtIO1tbOKC5OlToqSyAog0jEQ4cOY8FmazXYfv78+bh69arCFJq0tDR8+PBB6lDyxsJmsxETE4NcWZyj6iErKwv+/v611u/h8XjYsGEDevfujbdv3yIkJEQh08kDBgyAg4ODwqaOWSyW0q1iVeFwOGCz2Th//rzC+ty6dSs+//xzhfXXEFpaWpg7d67CfLByc3Mxb948mWqQyYu2tjZOnTpFX3ObN29WmuX+34ZGKDOVGBgYoGXLlsjPz8fTp08xadIkWqHx9PSk21UmlXJxcZG67/LycgkFYMeOHTLX25AXFouF3Nxc+Pr6KqS/M2fONHkhQh0dHaxatQrx8fGN7uvp06dYtGgR/RaUmQls3AjsoWaCMHIkMGgQleXX0JBKcGdhQVlvnJyo/DD//S+l2FRFWxuYPBk4cgTYuZNSeBYsoBScvXuB8+e74tWrrTKFY1eviL1+/XoAlEJZdUqJxWKhR4/ZMDFph9zc2AYVGoGgHPn5H9CmzUDY2UnvKzF27FiFTC0GBAQgJydH6mrMimLYsGHw9fVVSGZaY2NjDBo0qNZ1LBYLd+/elbDGbNq0SSHnL5/PV0j+H6FQiF27dqFLly6N7ksWWrRogcmTJyskU3lsbCzWr1/f5PWTdHV1FZbY88GDB02WUwsA+vTpg59//hkAdS4tWLCAqawtBRpRaPLp06cghKBz5854//49Vq9eDS6XCz8/P2hra2Pnzp3Yvn07zp49i44dO2Lbtm3w9vZGbGys1Omyf/31V+zYsQMA4OLiAl9f3yZ7I60kNTUVgYGB9c7vN4Q8FWgVhUAgwIMHD/Dll1/K3QchBOHh4XBycgKLxUJWFlVg8t07wNYWqB6VSgj1qXqohEIqWZ6REbB6NfDZZ7LJ4Ovri8+k2Kh6RWw/Pz+4uLjg4sWLcHFxQfv27Wtsk5UVAT+/HcjP/wB9fQvo61tKZDQWCnkoKUmHQFCK1q1dMHDgWujry+aztX//fixatEjuzKjl5eUghIDD4agku2p5eTn4fD6aNWsmt2KWlZWFhw8f1jvV+vr1a7i4uNBKp729PS5duoSePeuf0pMGf39/VFRUYNiwYXJtTwiBr69vk03xVYfH4yExMRGdO3dulCJy7do1TJ8+XSXFICsjwGbPni13H+fOncP06dMVHg7fENUrax87dgw//fRTk8qgaWiEZaawsBBLliyBvb09Zs2ahUGDBsHDw4NOtrVmzRq4urpi8eLF6NOnD1JTU+Hh4SG1IhMaGkpPkejo6EiY+ZoSKysrDB06VO5pAqFQiC+++ELBUkmPtrY2vvjii0Yl09uzZw86duwIFosFoRA4cIBSZDp3rqnIAP/4xFRFSwvo1ImqtH3gAOVLIwvSvgVt3ryZjsBZsmQJXFxckJqaiilTpqBdu3a1bmNp6Yjhw7fD0fEbsNlayM2NQXZ2FLKzI5GdHYnCwo9o1swKzs5LMGTIJpkVGQBwdXXFkydP5HYejI+PR1BQkMrSxOvp6cHLy0tup9zCwkK8e/euQZ+x/v37Y9myZdDS0sLGjRsRGhqqEEWmsu9evXohJydHru3FYrFK7kGVcLlcGBsb4/Tp03L3sWvXLpUpMgB1Pxo1apTcVpWKigpMnDixyRUZgPKBO378OP199erVSovS+regEZYZZSIUCtGvXz+6kOTvv/9O12JSBcnJyXj16pVcjsfbt2/HunXrVHbzqITP56OwsBDNZazS+PbtW3Tr1o2ud/LgAbBrF9C6NTWVJCtiMeUPM2QIsGWL9H4wABWd1FBRzqKiIvz66694+PAhwsPDYWhoCG9vb3Tq1Emq5HJlZblISXmJkpIMCIU8aGvrw8ysA1q16ldvKLY0xMXFwc7OTmbLRmhoKMrLyxVW+qIx3L9/H7169ZI5WyyPx0NqaqpUOU1KSkrw8eNHpYQMV2akdXJykmk7kUiEXbt2KS25nCwUFRUhOTlZ5t8nOzsbxsbGjapdpAgqI8HkcaB2c3PD999/3+RT9lWZO3cuXdh30qRJuH37tsrv7+rK/3tlZvfu3XQuFkdHRwQFBan8AkxPT0d0dLRMJurbt29j8uTJanGi83g8XLp0SeZoKh8fHwwaNAgcDgd8PhW9lJJCTS/JS1ERFW69ezfwvyABqSCEICYmRip/heLiYhgaGuLGjRvo1auX0hKDycquXbvg6uoq9fksFAohEAggEAjo9OqqJC8vD/r6+uByuVKf19nZ2bh165bamORfv34NgUAg1bRlJdHR0Qqp+6MIiouLER0dLXNNuuPHj2PBggVqMQY+nw8PDw+MHz9e6m3u3r2L4cOHq1SRAahrwMHBAZmZmQCA69evY9q0aSqVSV3RiGkmWRGJRNi3bx+WL19eb7uEhASJitinTp1SuSIDUOGRnTp1knq6gxCCTp06NfmNgy/iI788H7lluagQ/jM1xuVyMWPGDJmKae7duxfOzs60JSE4GEhMBBqbPd/IiArD9vGRbTsWiyV1fS9DQ0Pk5+dj3LhxdU4vqYI1a9bg1atXUp9HYWFh8PPzUwtFBqCug5s3b0ptXq+oqEBCQoLaKDIA0KtXL/Tp00fqzLoikQgxMTFqoQQA1LltY2NDWwek4fDhw2qjyADUdFO7du2kzvEkFovh5OSkkuml6piZmeHQoUP096VLlzKVtevgX6fMEEIwZswYrFy5EocOHaozgVJlRexK/5Tly5ejX79+TSlqnXC5XAiFQly+fFmq9lu3boWDg4OSpaIghCAiKwIHAw7i25vfYtadWZhzZw5m3pyJrS+24k3qGwjFQujq6mL69OlSZXV9//49li9fLhH6+P49VWBSEWkdjIyA0FDpswdXMm3aNDp/TCWvXr2qNez29evXSE9PV6mfQ23o6OhIlTMkLi4OLBYLI0eObAKppOfbb79FbGysVJW1hUKhwv18Gmu41tHRQVhYmFThtSKRCHv37m2UA70ysLGxwYwZM6SKMCsvL8d3332nNooM8E94+59//ilV+8OHD6N58+ZqM4Zp06bRJWkyMzOVmtVdk/lXTjMdO3YMixYtAgDY2toiPDy8Ro6AM2fO0FE/bdu2RUREhMpNitXJzs5GSkoKevXqVWcbX19fDBo0qEkuvOTCZBwMOIiwzDCUCcpgqmsKXS1dsMACT8RDXnketDna6GTeCYudF6OTcSecPn0aS5YsqbffO3fu1EhItXkz4O1NOf42lrw8qpTB3LmUw7CWFpXd19mZKnNQHwKBAHl5eWjRogWKiorQtWtXFBQUYPv27Vi8eDHYbDYePXoEBwcHtbLKVGXXrl34+eef66xOTQhBcXExysvLZc7N1BQkJSWhRYsW9SYsy83NxbVr1+jrvrGUlZXhv//9L4qLi3H06NFG9/f27VuIRKJ6X5gyMzNhZmam9Cri8pCdnY2wsDAMHz683nZ79uzBypUr1UYRqIpAIEBQUBD69+9fZxs/Pz/06tWrSXLKyEJqaiocHBxQVFQEAHj27FmDx+L/G+r1GqkgFixYQM9Rf/jwAZs3b5ZYn5GRgZUrV9Lfjx8/rnaKDEDlSmgo46RIJGqSG0dcbhz+8/d/8CrlFcz1zOFg4QBrQ2uY6ZnBVM8UVs2s4NDcATaGNojKjsIm700Izg7G3LlzcePGjTr7PXLkCEaOHFljnCUlVF6YxpKbC8TGAmFhwP79wNGjwKFDwG+/AfPnA+7uQEFB3dtra2vT6d1//fVXfPr0CSUlJXjw4AFYLBZ4PB4GDRoks5NqU7J69WrExsbWaWUICQnBy5cv1VKRAaiXjcuXLyMtLa3W9UKhENnZ2Vi4cKFC9ufl5YVu3bph165dcHNzU0gBSXt7e3Tr1q3OCDORSIQHDx6opSIDUDXqOnfuXG/xXnd3d7VVZAAqIWBD+X/09PRUFsVXHzY2NhJWYmVX1n7x4gUmTJgAa2trsFgs3LlzR2I9IQSbN2+GtbU19PT0MHToUKmn5ZXFv1KZqSzaVen/smfPHgQFBdHrq1bE/v777zFa1vLITYShoSF0dXXrLHWwdetWDJGlGqKcZJZkYoffDiTmJ6KLRRcYcY3qvGHpa+vD3twehRWF2PtqLxKLE9GnT59a/TZycnIwf/78WuemdXSojL+NISUFCAykajJxOFS4toMD0KUL5VSclwe4uVEJ+eor4zVv3jysWLGCfkM3MDDAsWPHwGKx8OTJE2RkZKjtQwigzOyJiYm1hqimpqZCX18fY8eOVYFk0vPDDz8gJSWlVt+T0tJSpKWlKeQhmp+fj0mTJiEhIYFeNn/+/EYXwWzWrBkCAwPpqMmqiMViuLm5qSw/lLTY2NhgypQptWZoFovFTWYhlhc2m43+/fvXOd108OBBdOzYUen17OSl+kt6ZR0nZVBaWoru3bvj8OHDta7ftWsX9u7di8OHDyMwMBBWVlYYOXKkwrIuy8O/UpkBgM6dO9Nl1MViMV20686dO7SlwMLCQmkVsRWFra0tJkyYIHFzBYCYmJgmy6z5MP4hYnNi0cm8Ezjshi90FouFDqYdkF6cjmtR12BpaYkDBw7UaPf48eM631TbtwcaU6InM5Oq1yQWU1NJBgZUSYNKdHSoDMIdO1K1nnbsqL0IJUBFZz158oT+vnXrVrRr1w6+vr7o2bNnk6abl5cJEybgwIEDNX5vDoej1opYVfT19WsoxXl5ebhy5YrcyemqY2pqiq1bt0osS0pKwsuXLxvd9+DBg6Gnp4eIiAiJ5RUVFfj+++8b3b+yYbFYyMnJgb+/f411O3bsoEt3qDNcLhcrV66ki8JWEhkZiZ9++kltnN9ro7bK2lVf0hXJ2LFjsWXLFkyZMqXGOkII9u/fjw0bNmDKlClwdHTE+fPnUVZWVq/lTtn8a5UZgIrmqMzx8O7dO2zdurVGRWwLCwtViSc1PB6vxttQ9Ruisijhl8AjwQMmuibQkqI+UCUsFgvWhtYITA1EFj8LixYtkjDXnzt3Dl9++WWdEQPt21N5YeTJdyUWU1NLQiGVn0YgAExNa88zw+VSFpu3b4G6iu1u3bq1RkVssVgMOzs7jTh/KnF1dZVI4hYaGoq3b9/Czs5OhVJJj5OTE65du0Yn0yOEgM/nK9yisXjxYtqvYsCAAQgNDcWIESMU0re1tTVat25NK2VisRjHjx9XSrVtZdCqVSv06NFDYtrhyZMn+PXXX9XaKlMVsViMqKgoiWUZGRmNdvZuCup6SW9KEhMTkZGRgVGj/imzwuVyMWTIkFoV3abiX63MVFYwroww2bJlC30j/OKLL/CNLKWRVUjz5s1hZmaGq1evAgB27tyJqVOnNsnN42XyS6QWp6KFgez+FKa6piioKIBXohd0dHTot56KigpMmjSpXj+lPn0oJ93/pVeQiZwcKr+MgcE/U1X/q0daK1wuFTX1+HFN5Sk8PJwuc6GlpYUJEyaAw+Hg9u3bKCoqUjtHwfrQ0tKCh4cHhEIh8vLyYG5ujnHjxqlaLJn48ccfUVhYSCdmfPnyJbS0pFeypYHD4eDUqVM4dOgQ/Pz8FBopaGFhgaCgIAQEBEAsFuPixYt0HR5NwdraGp9//jkdCWphYaExigxAPRfGjBlDZyo/cuQI+vTpo/SK2Ipi9erV6NatGwDqJX1PZdG6JqKyqHN1H7sWLVrUKPjclPyrlRkAcHZ2hqurKwDQIaoGBgZNVhFbUdjZ2WHixImIiIhoUie7xIJEiIkY2hzZpyJYLBb0tPQQmR0JNpsNe3t77NmzB+fPn2/wAWRiAoweTfm1yPrikZ5OWWe0tKipI2NjSjGqj5YtqXDw/yVtBUCdL/PmzZOoiD1r1iyEhIRg4MCBsLe3l00wNWD27Nk4duwY8vPzkZubq1HXAECdU9nZ2fj06RPu3r2LqVOnKmU/Xbt2xdKlS5USaj9s2DCYm5sjMTERQ4cOVXj/yobD4aCgoAD379/H1q1b6422VFd0dXWxZMkShIaGYsGCBRpjGQNqr6xdfdqsKah+7yCEqPR+8q9XZgBg/fr1Eg/PCRMmoE2bNiqUSHYqb+Jnz55V+JtofRTzi8Fhye8Qp8XRQgmfctrU19dHmzZt4OTkJFXdrK++opx137+XLUdMaSnl8FteTik0XbpQf+tDXx/g8SjlqZJDhw7hzZs3AKholA0bNqBVq1a4cOGCWkY8SEuvXr0QEhKCHj16qFoUufjss8/w+PHjOitiawI6Ojo4ffo0WrdurWpR5KJt27YwNDREv3791C63krSIRCKcOXOm0c7dqqDqSzqPx4OTkxNatWrV4KdPnz6N3rfV/8zc1a0wWVlZKo2I1MyzUEb27NlDv13r6+vjp59+wq5du8Dj8bBlyxYA1BRUWloaTp8+jcDAQDx9+hS3bt1CVFQUDh48iKKiIom2eXl5OHLkCMLCwnDv3j08fPgQwcHBOH78OLKzsyXalpWVYc+ePYiNjcW1a9fw/Plz+Pv749y5c0hJSZFoKxKJsH37diQlJeHChQvw8/ODt7c3rly5gpMnT4LD4eDGjRsS22RkZODkyZMIDAzEkydPcPv2bURERODQoUMoLCyUaFtQUIDDhw8jPDwcd+7cwaNHjxAUFIQTJ04gMzNTom15eTn8r/qjLKMMCb4JSH2XioyoDMT9HYeS7BIEXwsGERMEX/3f32vBKMkuQdzfcciIykDqu1SkvUpDeUY59uzZg9LSUrx8+RKlpaXYsmULMjMzceLECQQFBeHRo0e4c+cOwsPDcfjwYRQUFODQoS1YvhzIzd2CqKhChIUdQl5eBBITbyMl5QmysgIRHX0SZWUZCA6m5A4O3gKRqAIFBX+itDQehoZXIBB4IyPDD3FxF1BcnISQkO0Qi0US25SUpCAr6xwiIvzx/PlzXLt2Dfr6+vQb26BBg8DlcjFz5kxMnjwZGzduRHBwMB4+fIh79+4hLCwMR44cQV5ensRvWFRUhIMHDyIqKgq3bt3C06dPERgYiNOnTyMtLU2iLY/Hw65du5CQkIDLly/D29sbvr6+cHd3x8ePH7Fjxw4IhUKJbT59+oSzZ8/i9evX8PT0xPXr1xETE4N9+/ahpKREom1OTg4OHjwIgUCAp0+f4s6dOwgNDYWbmxtyc3Ml2hYXF2P//v2IiorCzZs34eHhgYCAAJw5c6aG3AKBADt37sSHDx9w8eJFvHjxAi9evMDFixfx4cMH7Ny5EwKBoMa1dubMGQQEBMDDwwM3b95EVFQU9u/fj+LiYom2ubm5cHNzQ2hoKO7fv48rV64gMzMTN27cQFZWlkTbkpIS7Nu3DzExMbh+/To8PT3x+vVrnD17Fp8+fZJoKxQKsWPHDnz8+BHu7u7w9fWFt7c3Ll++jISEBKXdI44dOwZ/f3+kpaXh9evXCr1HxMfH488//0RFRYXS7xHu7u5o27Yt/vzzT8THx+Pq1av4+++/8fLlS/z1119ITk7G1q1bIRaLsWXLFojFYmzduhXJycn466+/8PLlS/z999+4evUq4uPjsWfPHpSXl0vI0tA9omrbwsJCHDp0CBEREbh9+zaePHmCwMBAnDx5EhkZGRJtKyoqMGvWLHz99ddYtWoVvL294efnhwsXLiApKQnbt2+HSCSS2CYlJQXnzp2Dv/8/94jY2Fjs2bMHZWVlEm2zs7Nx/Phxpd4junTpQiuSfD4fqampDX4UMQ3Uvn17WFlZwdPTk17G5/Ph4+MDFxeXRvcvL//KpHlVeffuHXr16gWxWAwtLS0cOnQIAwYMQHdZCvWoAWVlZRAIBGjWrBn4fD6EQqHUVcEbw+XwyzgceBhdLbrKZUKMyo7CuE7jsG7QOhw6dAizZ8+mfRJWrFghVR9BQVRtpaQkoFUragqqLlEqKoAXL6jcMd27U8690ojN4wEfP1KFLauWoSkqKsLjx4/x9ddf4+PHjzA2NoapqSlCQkIUVmG5KUlISEBqaioGDx6Mv/76C99++63ahqLWRlFRETw8PDBt2jTcu3cPLi4uTe6E7enpicLCQrlr5BBC8O7dO/To0QOpqanQ1taGZUPzoGrG9u3bsXbtWnz8+BGvX7/GzJkzVS2STBQWFkJbWxv6+voS/2sST548wU8//URnJGexWGjRokW917OVlRXevn3bYN8lJSV4//49AKBnz57Yu3cvPv/8c5iZmaFNmzbYuXMntm/fjrNnz6Jjx47Ytm0bvL29ERsb2yTPpdr4V1tmhEIhfvzxRzpyYOPGjVi4cCHEYjESExNVLJ1sHDt2DEZGRuBwOEhJSVFIqKg0uLR2gQnXBHnlstcDKROUQYujhaHthsLX1xdz586FkZERDAwMsGTJEqnSowNA797Avn3AF19Qjr2RkVTdpuxsSmnJy6NyykRFUQpP165UNFTbttIpMgCVZ6ZNG+B/fnU0RkZGdAXz/Px8OlFVjx49aoTwqjuRkZFISEjA4MGDAUAjM4jq6enRb38TJ07EkydPpCp1oAjy8vIwZ84cjBo1CvPnz6eDCWSBEIJt27bRU3wFBQUoLS1VsKTK5ePHj1i7di3YbDZsbW0xYsSIWvPnqDP37t2jHZh1dHRw7tw51QokIyEhIejcuTOSkpIwZ84cANS51b9/f6SkpODTp0+1fqRRZAAqY3XPnj3pF7aVK1eiZ8+edCTVmjVr4OrqisWLF6NPnz5ITU2Fh4eHyhQZ4F9umdmzZw9d+r1r164IDg6Gjo4OUlNTYWBgAGNjY41wgLxw4UKNeicfPnxAQkJCk9TS+a/3f/HswzM4NJctqiMhPwHtTNrBbZwbIsIi4OTkRPv7lJWV4fHjxzI5cBICxMVRRSPfvQNSU6noIxaLCr12cAAGDQIcHYGlS4GsLEqpqQ0ReMjVfgceOw9ioRay4+zw85x2mDaNV2uV5rt378LOzg6Ojo5V5CF48+ZNk9X0IgSIj6fGzeNREVh2doA0bheV1bABSLyB7tq1C6tWrdII60xhYSHc3d0lymOUlJSAEIJmzZop9VrOzs6Go6MjsrKy6GXTpk3D9evXZeonICCgxvni6ekJExMTODs7K0RWZXPx4kXMmDGDnuIoLi5GamqqxjjEX79+HcOHD4eZmRm9rKysDA8fPsT06dNVKJl0EEKQnp4OPT09mJqaIi8vD/b29rRSf+PGDaU5xqsz/1plJiEhAY6OjqioqACLxYK/v79ETY779++jTZs2aj/dJBKJkJqaWsNhmcfjoby8HAYGBkpPevY27S02em0Eh8WBjaF0afvzyvOQXZaNVQNW4aPHR8yaNatGxEBxcTEuXrwodxr6khKqIra2ds2pp/v3qfIFRkaSkUxiCJGkew9J3Pso1voIMRGirILASMcI33zmjOgzbwEe4ObmRv/m2dnZMDAwgK6ubg1nRw8PD4l8C8pAIAD8/IAnTyglrvJFnhBq3P36ASNHUtNjdflixsbG4sOHD7Vm+r1//z7GjRun1o6cFRUVePHiRa2/tbu7O8aMGaP06aZvv/22RlKw58+fS52wjxCCZ8+e1XgBEYlEKCoqgpaWlkrfbKVh7969cHV1rXGuJCQk4M2bN5gxY4aKJJMOgUCA/Pz8GoUkCSFISUmBjY2N2iv2jx49QosWLdC7d2962bVr12gLspWVFaKiomBqaqoqEVXCv1KZIYRg5MiRdMXs5cuX15qBNjY2Fqampmo9X105N13bgyY6Ohrx8fF0RVVlciPqBtwC3aCrpQsbQ5t634JzynKQXZaNaQ7TMFR/KDp17FRnDofy8nLweDyYmJjIJRch1JRTYSGVU8bAgLLGcLnAuXNU7SVCABsbQFdfiAiDg/ioexccMRfs8pbglerCyIjArms+kt5FIOZQDAAqWuP9+/fQ0tKCv78/LCwsas30SwjB9u3bsX79ernkb4jiYmDvXsDLixqHlRUVas5iUd9zcykLFJcLTJoE/PQTld24KvHx8UhLS6uz9EV4eDi6du2q1soMn8+nnR5r49atWxg6dKjE27aiyc7ORpcuXZCbmwtDQ0Ps2rULCxYskOp3a+g8ef36NUxMTNTaupGfnw9dXV3oVU2lXYWCggLk5OSgQ4cOTSyZ9Jw8eRJTpkyBubl5jXVlZWU4ceIEHSWkjrx//x76+vqwtraWWE4IwaRJk3D//n0AVD6mU6dOqUJElfGvVGbOnj2LuXPnAgDatGmDyMjIWhO0xcbGwtjYmA41UzcePXqEMWPG1HuzTE5ORnp6utKnOgghuBd7D6dCTiGvLA8muiawamZFZwUWEzGyS7ORXZaNZjrNMNVhKn7o8QP8XvhhwIABdSozxcXFuHXrFmbPni2TPCUlwMuXlLUiOpqadiGECsG2sQHGjAEGD6b8a27epKZn0o3uIr3dXmjzrMARmICrC7RoQZU00GHxcX3JdZTmUmaPIyePYPG8xXjy5AnatGlTb+K0Sh8sRWfSragAtm2jMhO3bQvU99Kel0f5/UyfTk2xVZ4yYrEYPB4PZWVltd7AK9m+fTvWrFmjlm+lxcXFOHPmTL0O4xkZGTAzM6PrsSkLd3d3XL9+HUePHpWpuGhCQgLat29f77Xs5eUFY2Njtc3bcvToUfz00091niPZ2dlISkpSSPivMnj27Bl69+5dr8WivLwcr169Ulh5DEUTHx8PAwODGsoMAHz69AldunSh65fJYjX8N/CvU2YyMjLQpUsXFPyvFPKjR4/qLaJ39+5d2Nra0mUP1Ing4OAGb2xFRUUoKiqCjU391hJF8T7vPf5O/BvPPjxDRgkV5kdAAAKY6ZlhaLuhGNZ+GLq16AY3NzfMnDmzQatLUVERHjx4IHVERFgYsGcP8OEDlU+mZUuq7hKLRdVzysqilB0LC2D2bGDCBOBtsABrfJYgg/cBzbXsoK9HWTkqqyn4HfND1CMqxblJVxOcvX4WI1qPgJaWVoP1iwghuHLlisJN7NevAwcPUo7J0hR1z8ujPps2UYocQNXwiomJweTJkxvc/tWrVxgwYEDjhFYwQqEQwcHB6Fs1xKwOTpw4galTp9artDWWytulLNcaIQSXL19u8PwuLy8HIQQcDkft8hidPHkSc+fObVDZjY+PR2hoqNr5nhBCEB8fD1tb23rzdInFYrx7904tIxWfPHkCCwuLepVFNzc3umSPnZ0dwsLCNC5KS17+dcrMV199RTvlffvtt3B3d6+3PSEEaWlpMDQ0VKsiY9u2bcO6deukMmFHREQgPj4eX375ZRNIRlHEK8K7jHco5hdDTMQw0DZAV8uusDSgpuxSUlJgZWUllT8PIQQ5OTkwNjZu8M06OBjYsoWaXrGzoywxfD7lCEwI5T+jo0P9n5ZGWTfmzAEcR4TiF49VsDa0hr625MWdEZWBe7/eAwigxdWC8xZn9HbojSl6U2BhYSGVoksIwe7du7F69eoG20oDnw8sXAh8+lS3E3NtREdTTtBbtwJpaVRuCWkUAYCyDAwZMkStppvKy8sREhIidf4KT09PDBgwoN5SGU2JrOfF8+fP0aJFCwlHc1VTWTqiefPmDbYlhKCiogKFhYVqZfE+duwYpk2bJpVfVWlpKU6cOKFWZSYyMjLA5XJhYmJSryItFosxZMgQ+Pn5AaBKH+zataupxFQp/ypl5u7du/QbqIWFBaKjo6U6eQMDA2Fpaak2VV8DAwPRu3dvmR4qGRkZKCgoUJs597t372Lo0KFSpwkvLCzE5cuX63UGTk0FfvmFUlLs7Ki6TSkplL9MZTFlNpvyKWnVirK85OZSTsJjF3njVsF/4GDhIHEzEAlEuLniJgo+FQAA+v/YHxbDLFASX4KjXx2t00ejNioqKlBWVqYQv42XL4H//IeyyshSMiY/n/KzOXCAwMqqGPn5+TKd17Io0cqmpKQEp06dksmHIS4uDm3btlUby0ZeXh709fVlqvvz8uVLmJiYoGvXrkqUTHr27NkDV1dXqacgk5KSkJSURKcAUDVBQUHo1KmTTM7VPB4P0dHRapMl+927d9DT06vVb686MTEx6NatGwQCAdhsNgIDA9V26lKRqP6OpSAKCwuxaNEi+vv+/fuljm5wdnZGWFgYIiMjlSWeTOTn58s8ZaROvg5nzpzBZ599JlO9E2NjY8ycOROPHz+us42nJ5VHRkuLSowXHEzlmmGzKWuMjg71f04OEBJCtSkupqwcL19oA2BRU2JVCLkWQisyzTs2h+N4RwgEAljaya7ccrlcuhhoY4mLo6KYZK19Z2JCjdnbOw5Pnz6VeQy//vorEhISZNupEiCEICMjQ+rEipV06tQJp06dQl6e7HmRGktOTg7i4+Pp74QQXL16VeYChg4ODrC1taVryamSGzduYMWKFTLdX9q2bYuWLVvi7t27SpRMesRiscwRnywWC/n5+UqSSDaePXsGgUAglSIDUKVXVF1ZWxX8a5SZdevW0Umsxo4dK3NGyjFjxsDGxoZOpKQqtm/fjhEjRsiszDRv3hx8Pl/lN5CCggLMmDFDLutEs2bN0LFjR9RmLCwtBR49onxCoqIoh19DQ+rhrav7jzKjq0tZZoyMqDbR0ZTlJiOqI7T4Zsgu+yfBWt7HPITcCAEAsDgsDF46GGwOGynvUtBK1ErmuWYWi4WFCxfi2LFjMo+9OvKWi2GxAJEoH2VlQrn8FlgsFkJCQuhEk6qirKwM0dHRcvmBLVmyBO/fvwefz1eCZDUhhODixYvo0qULZsyYAaFQCEII3NzcJF6wpMXU1BReXl6IiopSgrTSQwhBt27d5KoFZ2tri1GjRqGoqEgJkknPiRMn0LZtW5kVSh0dHfTp06fWKNimpLCwEC4uLjJbiNasWUNPj4eGhmLv3r1KkE69+FcoMy9evKAfIPJWxNbW1kZQUBBSU1OVIaJUfPjwoc4wbGlwcnLCkCFD8OnTJwVLJj2PHj2Su3Abm82GhYUFjhw5UmPdq1eUJSY/n3L2bdaMcv6tuy+qjb4+FeWTFm8Jw7whyCrNgphQD+rE14kgIkpx6jG1B8zbmyMhKgGmNqaYM2aOXGNgsViYPn06eDyeXNtXoqMjffbi6hAiRGNSD3311VfYu3evyhSa0tJSnD17FhMmTJC7DxaL1SRvozk5ORg3bhy+++475OTkICgoCPv37wefz6fzfsjDF198AT6fr9JM5Tt37oStra1c23I4HCQnJ+P169cKlkp63r9/j1mzZsmdesPQ0BBLlizBx48fFSuYDMTGxiIuLk5mhVJHRwenTp2in4ObN2+WsBr+G9F4ZaaiogLz58+nv2/fvl1u35fhw4fj/fv3iI2NVZR4MlFZoVleWCwWCgoKJLKUNiXXr1/H6NGjG+UzYmJigjlz5iAgIEBiubc3NX1kYEDlVJEWHR1qm4ICoCJ4GmxNbRGTEwO+iI/e3/TG6P+Mhk13G/SY3gM5pTko1inGWMex6Gopv7+CqakpDh06JPf2AOXvA1COzbKQkRGP4uK/0bdv4/wtli1bppKpGoBy+q16TcuDs7Mzzp49S0c1KgtDQ8MaD7vffvsNmzZtanRUlZWVFczMzGq1VCobHx8f/PLLL3JZZSrp3Lkz7OzsJAoSNiXJycmNfqng8XgIDQ1VjEAy4uvrC21tbbn9dvr27Uv7m1U+J1VtcVUmGq/M/PHHH4iLiwMA9O/fnw5LkxcXFxe0adOmyeer9+7di+nTpzfa8bJdu3bQ0tLCo0ePFCSZdPD5fIUlLdPR0ZH4HQgB3r6l/srj11lp5UiNaoMNg35DZ4vOSMhPQExODNj2bDiuckRsYSw+Bn/EQOOB+GX4L2Cz5D8ObDYbK1eubJT/zMCBVA4cWfRSobAMublcDBjwFRrrt8jlcnHz5s0mv/mVlZXh0aNHCnHgXbJkCbKyspQ6Bi6XK/EGDFAWUkUkXrOxsYGPjw/Cw8Mb3ZesaGtrK8QPr1WrVujbt2+TTflVcvbsWTg4OMjkt1cbBgYGGDZsmEKmjmWhoqICffr0aXRAxx9//IF27doBoBTU06dPK0A69USjo5nevXuH3r17QyQSQVtbGyEhIQqJALh37x66dOmCjh07KkDKhpEn4qE+RCIR+Hw+ysvLlZoRtSqnT5/GpEmTFJZSPj8/H5cuXcKSJUsQGQnMnElFMcnbfX4+pdTcvQt0dizDq5RX+Dvxb6SVpEGHrYOWgpb4vOPnGOw4WGH5ehISEmBrayt3f0ePUhmMu3ShnJ4bIj8/DTExidi8eSCmTJFrl7XIcBSLFi1qkhxGZWVluHLlCp3wUhE8efIELi4uSk+7sGzZMty8eROHDx9G9+7dFZpAMTo6Gubm5k2WqXzHjh1YtWqVwsqkREZGIjExEePHj1dIfw2RmZkJExMThUa0KTJSURpevnwJDocjUYJHXjw8PDB69GgAVKBFVFRUrUn3NB2ZXz9fvHiBCRMmwNraGiwWC3fu3JFYTwjB5s2bYW1tDT09PQwdOrRGlBCPx8OyZctgYWEBAwMDTJw4UWY/D6FQiHnz5tEWlPXr1ysslHHixIlIS0trsrnSa9euKbS+EofDQWJiImJiYhTWZ314enriyy+/VGhtHFNTU8ybNw+xsbHw9v4nu6+8BrPKHDT79t3A3Rt3Maz9MGwdvhVnJ53F8QnH8V2379DRvKNCH9rt27fHjh075N5+8mSgUycgNrbhcWdnJ+DdO38MGzYQI0bIvcsazJgxo9Gmemlhs9kKz5U0ZswYXLp0CYWFhQrttzrbt29HZGQkoqOjFZ4Jms1mN9lUU0REBFavXq3Q+1HXrl3h5ORUY+pYWQQEBCj8ePP5fDx8+FChfdZFUFAQjI2NFaLIAMCoUaMwa9YsAJRD8dKlSxXSr7ohszJTWlqK7t274/Dhw7Wu37VrF/bu3YvDhw8jMDAQVlZWGDlyJIqLi+k2rq6uuH37Nq5cuQI/Pz+UlJRg/PjxMk3tHDx4kC5n7uDggF9//VXWodSLvb09WrRoofSbyIkTJzB//nyFh1Y7ODjAyMgIz549U2i/1SGEwNbWVilvvkKhECkpKUhIAJo3pyKUyspk74fPp6wyFhZZuHbtJ8ycORMTJ06kH9IeHh7Iy8tT+NsKm83G2rVr6RphsmJtDaxfD3ToQEVwZWb+k0+nEqEQSEkRICXFFMOGTcLatdTvpChMTU1x5MgRpV8H5eXlOHXqlFKK4/3444/g8XhKHUOzZs3w9u1bbNiwQeF9d+7cGf7+/oiIiFB439VRlsOxmZkZ2rRpo/Tz6OrVq3B2dla4FcvIyAgTJ07ExYsXFdpvdUQiETp06IBWrVoptN+9e/fSL5u3b9/GrVu3FNq/WkAaAQBy+/Zt+rtYLCZWVlZkx44d9LKKigpibGxMjh07RgghpKCggGhra5MrV67QbVJTUwmbzSZPnjyRar8JCQlEV1eXACAsFov4+/s3Zhh1cv36dRIXF6eUvgmhfpvs7Gyl9l9WVkbKysqUto9jx46RzMxMpfWfk5NDBg48RsaMIWT4cEJatCCkUydC7O2l/1hZEdKtGyEtW84gAAgA8vXXXxNCCElLSyO5ublELBYrbQyvXr1q1PafPhHy55+ETJxIyMCBhAwaRMiQIdT/AwcSMnZsElmy5CHJy1OMvLXh7u6utN+ovLycXLt2TSl9V3Lp0iVSWFiotP7FYnGjj3ND/ScnJyt1DH/++Sfh8/lK6z8sLIzcuXNHaf2XlJSQoqIipZ2nYrGY5OTkkIqKCqX0TwghPj4+xNfXVyl9X758mb7/WVlZkTxl3jBUgEIdgBMTE5GRkYFRo0bRy7hcLoYMGQJ/f38AlAlNIBBItLG2toajoyPdpgHlCz/99BOdD2bp0qVKqyczbdo0pUYHHTlyRO5q0dLA5XIRExOjNPPu27dvMWPGDKXO5Zubm8PR8QeUl6ejVSvA1JTKGyPtC15JSWVE00Okp18GQL0lHjx4EAAVWpuTk6NUnxBnZ2ds27ZN7u1tbKjMxydPAq6uwJdfAiNGANOmAT/88BHffReKw4e/gBKMGjQuLi5Ke6vW1taGs7OzUvquZMaMGbh165aEhViRbNu2rc5pAUJIo6fqWCwWMjIylDZdlpqaCldXV4VOL1XHyckJffv2RXR0tFL6f/DgAYqLi5V2LbNYLHA4HJw7d04p/cfFxaFly5YYNGiQUvr/+uuvab+ljIwMrFmzRin7URUKVWYyMqjCgy1atJBY3qJFC3pdRkYGdHR0apiTq7apj/Pnz9NTJ61bt8bWrVsVIXqdmJmZKSU1+vXr17F8+fJGhT5KQ8+ePWFlZYVXr14pvG8Wi6XUm18lhoalyMkJAJcL9OhBJcUrKKAy5NaFWEwpPSwWYG9fjLCwf5KX7d27F5aWlnj+/DkqKiqkzqwpLxwOB+vWrcO7d+8a1Y+lJaXArFxJlTpYvlyMGTMsMX78UMUIWg+V/j+KVmgqKipw4MABOuJCmUyePFkpmbJDQ0PrnF5KTEzE6NGjZc5kXBvOzs4IDg5WijLg5eXVJJFrHA5HKcfg8ePHGDJkiNIdW01MTDBjxgylRIsaGhoqtaYYi8XC0aNH6X2cOnUKXl5eSttfU6OU0OzqmjEhpEFtWZo2mZmZEsW/jh8/LlO9DXmws7PDo0eP8P79e4X1SQhBz549la7IVGJjY4MuXbooNNz85MmTaNWqFfT09BTWZ118/rkpmjUbiJiYCzAyApydqQd7RQUVpVReTvnFCATUsoICoKiISprXqxeQmroepaUpAIDu3Udi1qxZKCwsxIABA5qsOi6LxVJ4MsOUlBQ8fPiwyQqkrl+/Hh4eHgrrTyQSwdfXFytXrlRYn/VhYmICd3d3hVtnajuuIpEI+/btg6OjIzw9PXH8+HG8ePGi0fv64osvYGVlpVCn7CNHjuCrr75qsMirIrC0tER5eTnu37+vsD5FIhF69uyp0ACE+mjWrBns7e0Vqti/ePGCtswok9atW2Pnzp309/nz58ud5FTdUKgyU1kltbqFJSsri7bWWFlZgc/n16h7UbVNXSxfvpxOgjVz5kyMHTtWQZLXz4wZMyAQCBSWmnvnzp1N8iZaiaGhIeLi4hSmhb9//x7fffddg8dLUQwaBLRubQE9vS/B5xfDwADo35/6tG9PWV8EAkqhEYup/Cx9+gCDBwOE+CMyksoozOHo48yZ42CxWIiPj0dsbGyTKZQsFgtjxoyRuJE0hrS0NMTFxclVsqAxKDKJm1gsbrIHUCULFiyAh4cHSktLFdLftm3bag05TktLw8aNG1FWxWN9/vz5jS6XouhM5cXFxZg9e3aTKDKVdOvWDYMGDVKYcn/p0iUIhcImu5bZbDZMTU1x9OhRhfSXmpoKW1tbDBkyRCH9NcTChQsxcOBAAFT6iM2bNzfJfpWNQpWZ9u3bw8rKSiLjI5/Ph4+PD1xcXAAAvXv3hra2tkSb9PR0RERE0G1q4969e7h27RoAyo9i//79ihS9QSoqKhTyNuTt7d3ozJry0LdvX9ja2iqkmOanT5+aNAmWkREwciQLubnlSEy8B4BSYMzNgW7dgM8/B4YMoZSXzz8H+valIoEAHl68mAf8r7jkhAlb0KtXe/j6+oLFYjWZVaYSDoeDX375BSkpKY3uy8zMDI6OjgqQSjacnZ2xdevWRis0PB4P+/fvb/JjAFDXgiKmjlNSUrB27dpa19U2BV5aWqqQIp4jRoyg09w3Fnd39yZVZABKsS8sLEROTk6j+3r16hXGjBmj8OifhjA1NcWsWbMUUq6Bx+M1aU1ANpuNkydP0i4Ce/bsQXBwcJPtX1nIrMyUlJQgNDSUTvGcmJiI0NBQJCcng8ViwdXVFdu2bcPt27cRERGBOXPmQF9fny78aGxsjB9//BGrVq3C8+fPERISgu+++w5OTk4YUUeCjNoqYjdv3lyO4cpPz5494enpiQ8fPjSqH11dXZVVuDY0NISpqWmjHkTnzp1D586dG51ZU1bGjwe6dGkOHm80EhMli2lqa1M1mCpLHVTOVr57txsFBZR/gZmZM/bsWU5n1nRwcGhS+avi4+PTqO2Tk5Nx48YNpZuk6+I///lPo25+hBBERkZi9erVCpRKelq3bo0jR46gpKSkUf38/fff9V7LS5cuRb9+/QAAixYtQmRkpMJyYX322Wdo3bp1o6aO3d3dMXfu3CZXZgDQlunG+J4QQmBubq5UP5P64HK5jfYZ9PPzQ3JyMjp06KAgqaSjS5cu2LhxIwBqmm7evHkQylo7Rd2QNfzJy8uLDu+q+pk9ezYhhApf27RpE7GysiJcLpcMHjyYhIeHS/RRXl5Oli5dSszMzIienh4ZP348SU5OrnOfixYtovczZswYpYbR1odIJCIpKSlyh+bt2LFDqaGP0vDq1Svi4eEh17YZGRlKDUtsiIgIQqZPF5G+fdPJnDkCsmABqfczY0Y6ad78K8JiaZErV94RQgjx9/dXWii/tAgEArJ//365ts3Ly1O5/IQQ8ujRI7mvQx6PR549e6ZgiWTHw8OD8Hg8ubbds2ePVO0iIyOVFmp79+5dEh8fL9e2AoGApKamKlgi2RAKhaS0tJTk5ubKtf25c+dIUlKSgqWSjdzcXHLkyBG5ts3LyyN5eXlEJBIpWCrp4PF4xNHRkX627ty5UyVyKAq1L2fg6+uLwYMHA6DqZERGRspdSFIReHl5oXPnzjJ7zYeHh8PBwUFlVpmqpKWlgc/ny+y38+DBAzg7OzeZr0xtxMQAmzdnIijoIdq0mQtra8oqU5WyMiA9nXIGtrUFpk+PxYQJnREUFAQdHR04OTmpRvgqlJaWQigUymzhKikpQVpamtIjsKRh27Zt+PXXX2UKheXz+Th48CB++eUXJUomHeHh4ejcubPMlomioiJwOBwYGBgoSTLp8fLygq2trcz3xL1792LJkiVKidSUhcjISBQXF8uc7bYyJb8yU1tIS0VFBT5+/ChzHaXo6GhUVFSoZKq1koCAAPq319XVRVhYWJOV8VE0Kis0KRQKGzSRVq+IvW3bNpUqMgDw+eef4+XLl0hKSpJpu+TkZCVJJDsCgQCC+uKaa+HatWvo1auXShUZALC3B44da4FNmybDwOAFUlOByEjqExVFfVJTKSVm5Upg3z5gwoTOEIlE6NSpE1q3bq1S+Svhcrlwd3eXaZtPnz7h+vXraqHIAMC6detkPq/T09ObLHqpIZycnHD48GEJJ11pOHfunFooMgCV6dvS0lKmqePHjx+rhSIDUKUO9PX1Zc6SLesxUyZCoRBpaWkybfP69Wvk5OSoVJEBgH79+klU1l6wYIFKqrQrBFWYg4KDg0mvXr0aNLVv2LCBNoH169ePCIXCJpKwfsrLy0l+fr7U8vz5559ym7OVhb+/P3n+/LlUbYuLi0lxcbHKpvdqg8fjkYiIGBIQICbu7oQcP07IsWOEHDyYSp4+zSHVZ/N8fX2Jj4+PaoStA4FAQM6cOSNV29LS0hrTterAX3/9JfV5wePxyOXLl5UskewEBgZKbeo/efKkkqWRnatXr0o93SQWi0l4eLhaXcuVmcpLS0ulan/hwgWSmJioXKFkJDs7mxw/flyqtqWlpaS0tFSlU/ZVKS4uJm3btqWftep4jktDkyszycnJRFtbmwAgBgYGdZ6U7969I1paWgQA0dbWJhEREU0raAPcuXOHpKSkNNguJSVFbZSwqojFYpKXl0eysrIabHvt2jWpxtrUpKenS1x4YrGYjBkzhjRv3pxcvnyZvmHHxMSQmJgYVYlZL+np6VL5UeXm5pI3b940gUSys3v37gYfjnw+nxw8eLCJJJINb29vUl5e3mA7Pp9PMjIyFLJPgUBAdu3aRS5cuKCQ/l6/fi1VWZE///xTqrE2NUFBQVK9bCQnJyu1PEtj4PF4UvkhhYaGKs2PSl6ePHlCKzPGxsYkLS1N1SLJjEosM4sXL6Z/uNGjR9e4EQqFQuLs7Ey3+e2331QhZoPcvXu3XsdlQqiaNupmlakkIiKChIWF1dvm4cOHan1iFxYWknfvKOded3d3+pyxsbEhJSUlhBDKcVldx8Dn88nu3bvrbZOamiq1BUcVlJWVkfz8/Hrb5Ofnq+1DiBDKobch+bZv366QfQUHB5OePXsSAMTU1FQhClJCQkKDdZsCAgLU9l5ECOUs3ZBzu5eXl9pey7m5ueTu3bv1tgkODlZqDa/G8P3339P3zylTpqhaHJlRiTJTWFhIbGxs6B+u+tvJ3r176XVdunRRG3NcdXJzc0l5eXmdb6WHDx9WW9kref36NfH29q51nUAgIBkZGUQgEDSxVNJTXFxMAgICSFZWFjE3N6fPm8qbiq+vL/Hy8lKtkA3A5/PrvAny+XySlJSksogHaTl06FCd1wGfzydubm5NLJFsiEQikpCQUOcYbty4oZCpmdjYWMLhcCQiQb/66qtG90sIIRcvXiQJCQl1rvfx8VFLK3ElRUVFpLCwsM77zbVr18iHDx+aWCrZyMrKIn/99Vet6/h8PikrKyNFRUVNLJV05OTkEAsLC/q8vHnzZpPLcOTIEdKuXTvC5XJJr169yIsXL6TeViXKDCGE3Lt3j/7RzM3N6emODx8+EH19fboi9suXL1UlolRcunSp1imYwsJC2jKgzlReYMXFxTXWubu7N2h5UgdSU1NJv379ajwcPn36pPLQTWmJjIys9WGZlZVFnj59qgKJZOfYsWM1lvH5fHLq1CkVSCM7N2/erNU6IxaLSWRkpML2880330goMywWS2H+UBEREbU+LKWxPKkDr1+/rtWXr6EXR3VBLBaTkpKSWq1kQUFBxNPTUwVSSc+lS5fo87Jly5YNWlwVyZUrV4i2tjY5efIkiYqKIitWrCAGBgZS38NVpswQQsjXX39N/3AzZ84kYrGYjBw5kl62dOlSVYonNZ6enjXmq93c3NTeKlPJmzdvyNu3byWWvXz5Uqo5eHXg4cOH9DlT1Wz/4cMHufNwNDV8Pr9Gnoe0tDSF+VQ0BZmZmTWmMXg8nsacR4RQFqbqPiVbtmxR6EM0MzOTmJmZEQDEwcFBoXmDQkJCSHZ2tsSyuLg4tbbIVCc+Pr6Gcvf48WO1t8pUkpmZSS5duiSxLDo6mgQFBalIIukRi8Vk3Lhx9P10/vz5Tbbvvn37koULF0oss7e3J+vWrZNqe5UqMxkZGcTU1JT+4VxdXen/W7durbbmuOokJSVJ3AD/+usvtXSyq4/AwEB6LlcsFpP4+HiNeJMrKioirVu3ps+bs2fPEkIoZUzaaC11gc/n05bISgdtTTuPqipkAoFA6uRy6kJ5eTnJy8ujv3t7eyvFGuDu7k42b96slBced3d3icCKO3fuaMyLFSGUNTItLY3+3e/fv6920UsNkZWVRe7cuUMIoa7lwsJCjVHqk5KSiIGBAX1PbYppeh6PRzgcDrl165bE8uXLl5PBgwdL1YfKk+adP38ec+bMqbH8wYMHGDduXNMLJCdnz56Fjo4OPvvsM+jo6NBFNzWF0tJSiMVi3Lp1CwAwZMiQJi2GKS/Lly/HoUOHAFAp3ocPH47hw4ejS5cuMDMzkymhm6ohhMDPzw9paWno27cv3r592+SFJBXB8ePH0bp1a5SXl2Pq1KmqFkdmTp06BQsLCwwYMACxsbF00k5NgRCChIQEvHz5EgUFBZg/fz70q2eWVHP8/f0REhICFxcX2NnZQV9fv8nr2TUGsViMnJwceHh4wNbWFkVFRRgzZoyqxZKaI0eOYOnSpQAAa2trvH//Hnp6ekrbX1paGmxsbPDy5UuJGo3btm3D+fPnERsb22AfKldmCCEYPXq0ROFJXV1dmJubq1Aq2REKhcjKygIhBMbGxiqrF9IY8vPzUVZWBm1tbZiamja67oiyEYlEyMzMBCEELBYLFhYWyM/Ph1AohL6+PkxMTDRKmQGA8vJy5OXlgc1mw8zMTC0Sm8lKTk4OeDwedHV1YWpqCjZbZbk55UIoFCIzMxMAYGJiojYJ8mSh8lrW0dGBqampRikCAKUMZGVlQSQSwcDAAMbGxhp3LZeWlqKgoAAcDgempqYadS0TQpCdnS2RXLVly5YNXstWVlZ4+/atzPurVGb8/f0xYMAAevnWrVtx4cIFxMTENNiHys/wyurFVZWZiooKhZW4VwWFhYUoLCxUtRhyIxAIkJWVpWoxZKLy4qukrKxMrbKEykrlm50mU1FRgfT0dFWL0SgKCgpQUFCgajHkhs/n04qZplJaWorS0lJViyE3IpFI469lAEq9li0sLMDhcJCRkSGxPCsrS+qs8ypXZoqKinDp0iX6u46OTpNXxG4sZWVlyM/PB0CVV2/RooVGvY0SQpCTkwM+nw+AqoGlDjVPpIUQAoFAIKHMWFpaqr1lqToFBQX0TVtHRwcWFhYa9TYqFouRmZkJsVgMADA1NdW46Y2q1zKHw4GlpaVGX8vNmjVr8gr3jYXP5/+rrmUulwtzc3ONupZFIhGysrLoa5nNZqNly5YNbieve4WOjg569+4NT09PfPnll/RyT09PTJo0SbpOFOO+Iz9VE+gNHjxY7fNpVCcnJ4c0b96cHkN1ByZN4OTJk7T87dq104iQ8qpUT7K4ceNGVYskM69fvyYsFosAILq6uhoThVWVefPm0cdgwoQJah9GW52qUUYAyIMHD1QtkswcOXKElr9Dhw4a4cRfFT6fT3r06EGP4Y8//lC1SDLj6+tLy6+vr69xzsuEEDJr1ix6DBMnTmySfVaGZp8+fZpERUURV1dXYmBgQD5+/CjV9ipVZqoe9PpKG6gzVQ/61KlTVS2OzKSmphJjY2N6DJqS06QqVZMs2tvba1TkBiGUJ7+joyM9huoh2prA33//TctvaGioluUvGqJq/pcZM2aoWhyZSU5OJs2aNWvSKBRFs2PHDlp+Jycntc5YXBvl5eXE3t6eHsO+fftULZLMqLK0wZEjR0jbtm2Jjo4O6dWrl0z19FSmzFQ/6A0VnVRHqh50ExMTtU2zXR9TpkyhxzB79mxViyMz1ZMs+vn5qVokmfn999/pY9CzZ0+1zrhcG2VlZcTOzo4ew9GjR1Utkszcv3+flt/MzExjwmgrEYvFZPz48SrJD6Io4uLiiK6uLgFA2Gw2CQgIULVIMvOf//yHPgZ9+/bVqPw+hGh20UmVKTNVD7o6VcSWluoHXVOynFbl5s2btPzNmzcnOTk5qhZJJqonWVyyZImqRZKZqKgooqOjQwAQDodDgoODVS2SzKxZs4Y+BoMGDdK4qeLCwkLSqlUregx1paNXZy5fvqyyzK2KQCwWk6FDh9Jj+Pnnn1UtksyEhYXRxZG1tLQarHunjlTN9fb5559r1FSxSpSZ6gddUam8mxJNPuiEUIX/rKys6DFcuXJF1SLJzPnz52n5W7Vq1WChPXVDJBKRgQMH0mNYu3atqkWSmaCgILrWkI6ODomOjla1SDJT1W9v1KhRGnctM357qkcoFJK+ffsyfnsqpMmVGeagqwfz58+nj8H48eM17gbOOGuqHoFAQFd/1lRnTT8/P43325s9ezY9Bk2sdpyWlqbxfnv79u3TeL89Jycnjfbba/KYw8zMTDr/h729PTZs2NDUIjSa2NhYOgHS77//jg4dOqhYItkQCARISUkBABgaGsLNzU2jwgYB4P3793QisBkzZmhUtuhKPnz4QP9/4sQJpWbYVAbp6eng8XgAACcnJ6xZs0bFEslO1Wt569atGpH1uio8Ho/OyWVsbIzDhw+rWCLZiY+Pp0OvZ8+ejVGjRqlYItmpei2fOnVKoxLkAVTSuspw/p49e2LlypUqlkgOVKFB8Xg8smXLFo101qwkPj6eLF68WOOcNSsRi8XkwoULdC0jTSQ3N5csWbJE45w1q+Lt7U3++9//qloMuamoqCCbNm3SSGfNSmJiYsjSpUs1zm+vErFYTM6ePUvc3d1VLYrcZGdnk8WLF2uc315Vnj17RrZs2aJqMeSmvLycbNiwQSMKYtaGyssZMDAwMDAwMDA0Bs1JbcnAwMDAwMDAUAuMMsPAwMDAwMCg0TDKDAMDAwMDA4NGwygzDAwMDAwMDBoNo8wwMDAwMDAwaDSMMsPAwMDAwMCg0ShNmTl69Cjat28PXV1d9O7dG76+vsraVaN58eIFJkyYAGtra7BYLNy5c0diPSEEmzdvhrW1NfT09DB06FBERkaqRtha2L59O5ydnWFoaAhLS0tMnjwZsbGxEm3UeQxubm7o1q0bjIyMYGRkhAEDBuDx48f0enWWvS62b98OFosFV1dXepk6j2Pz5s1gsVgSHysrK3q9OsteldTUVHz33XcwNzeHvr4+evTogaCgIHq9uo+jXbt2NY4Di8XCkiVLAKi//EKhEP/5z3/Qvn176OnpwdbWFr///jvEYjHdRt3HAADFxcVwdXVF27ZtoaenBxcXFwQGBtLr1W0MiniG8Xg8LFu2DBYWFjAwMMDEiRPx6dOnJhxFI1FG8porV64QbW1tcvLkSRIVFUVWrFhBDAwMSFJSkjJ212gePXpENmzYQBdevH37tsT6HTt2EENDQ3Lz5k0SHh5Ovv76a9KyZUtSVFSkGoGrMXr0aHL27FkSERFBQkNDybhx40ibNm0k6puo8xju3btHHj58SGJjY0lsbCxZv3490dbWJhEREYQQ9Za9Nt68eUPatWtHunXrRlasWEEvV+dxbNq0iXTt2pWkp6fTn6ysLHq9OsteSV5eHmnbti2ZM2cOCQgIIImJieTZs2fk/fv3dBt1H0dWVpbEMfD09CQAiJeXFyFE/eXfsmULMTc3Jw8ePCCJiYnk+vXrpFmzZmT//v10G3UfAyGEfPXVV8TBwYH4+PiQ+Ph4smnTJmJkZEQ+ffpECFG/MSjiGbZw4UJiY2NDPD09SXBwMPn8889J9+7dNSaZpFKUmb59+5KFCxdKLLO3tyfr1q1Txu4USvUTQSwWEysrK7Jjxw56WUVFBTE2NibHjh1TgYQNk5WVRQAQHx8fQohmjsHU1JScOnVK42QvLi4mHTt2JJ6enmTIkCG0MqPu49i0aRPp3r17revUXfZK1q5dSwYNGlTnek0ZR1VWrFhB7OzsiFgs1gj5x40bR+bOnSuxbMqUKeS7774jhGjGMSgrKyMcDqdGvbfu3buTDRs2qP0Y5HmGFRQUEG1tbYmCw6mpqYTNZpMnT540meyNQeHTTHw+H0FBQTXqa4waNQr+/v6K3p3SSUxMREZGhsR4uFwuhgwZorbjKSwsBACYmZkB0KwxiEQiXLlyBaWlpRgwYIBGyQ4AS5Yswbhx4zBixAiJ5Zowjvj4eFhbW6N9+/b45ptv6HozmiA7ANy7dw99+vTB9OnTYWlpiZ49e+LkyZP0ek0ZRyV8Ph/u7u6YO3cuWCyWRsg/aNAgPH/+HHFxcQCAd+/ewc/PD1988QUAzTgGQqEQIpEIurq6Esv19PTg5+enEWOoijTyBgUFQSAQSLSxtraGo6OjWo6pNhSuzOTk5EAkEqFFixYSy1u0aIGMjAxF707pVMqsKeMhhGDlypUYNGgQHB0dAWjGGMLDw9GsWTNwuVwsXLgQt2/fhoODg0bIXsmVK1cQHByM7du311in7uPo168f/vrrLzx9+hQnT55ERkYGXFxckJubq/ayV/Lhwwe4ubmhY8eOePr0KRYuXIjly5fjr7/+AqD+x6A6d+7cQUFBAebMmQNAM+Rfu3YtZsyYAXt7e2hra6Nnz55wdXXFjBkzAGjGGAwNDTFgwAD88ccfSEtLg0gkgru7OwICApCenq4RY6iKNPJmZGRAR0cHpqamdbZRd7SU1XH1KsyEEI2rzFwVTRnP0qVLERYWBj8/vxrr1HkMnTt3RmhoKAoKCnDz5k3Mnj0bPj4+9Hp1lh0AUlJSsGLFCnh4eNR4o6uKuo5j7Nix9P9OTk4YMGAA7OzscP78efTv3x+A+speiVgsRp8+fbBt2zYAVPXfyMhIuLm5YdasWXQ7dR9HJadPn8bYsWNhbW0tsVyd5b969Src3d1x6dIldO3aFaGhoXB1dYW1tTVmz55Nt1PnMQDAhQsXMHfuXNjY2IDD4aBXr16YOXMmgoOD6TbqPobqyCOvuo+pKgq3zFhYWIDD4dTQ5rKysmpohppAZUSHJoxn2bJluHfvHry8vNCqVSt6uSaMQUdHBx06dECfPn2wfft2dO/eHQcOHNAI2QHKTJuVlYXevXtDS0sLWlpa8PHxwcGDB6GlpUXLqu7jqMTAwABOTk6Ij4/XmGPQsmVLODg4SCzr0qULkpOTAWjGdVBJUlISnj17hnnz5tHLNEH+1atXY926dfjmm2/g5OSE77//Hj///DNtrdSEMQCAnZ0dfHx8UFJSgpSUFLx58wYCgQDt27fXmDFUIo28VlZW4PP5yM/Pr7ONuqNwZUZHRwe9e/eGp6enxHJPT0+4uLgoendKp/LkrToePp8PHx8ftRkPIQRLly7FrVu38Pfff6N9+/YS6zVhDNUhhIDH42mM7MOHD0d4eDhCQ0PpT58+ffDtt98iNDQUtra2GjGOSng8HqKjo9GyZUuNOQYDBw6skZIgLi4Obdu2BaBZ18HZs2dhaWmJcePG0cs0Qf6ysjKw2ZKPFQ6HQ4dma8IYqmJgYICWLVsiPz8fT58+xaRJkzRuDNLI27t3b2hra0u0SU9PR0REhFqOqVaU4VVcGZp9+vRpEhUVRVxdXYmBgQH5+PGjMnbXaIqLi0lISAgJCQkhAMjevXtJSEgIHUq+Y8cOYmxsTG7dukXCw8PJjBkz1CqUcNGiRcTY2Jh4e3tLhHWWlZXRbdR5DL/++it58eIFSUxMJGFhYWT9+vWEzWYTDw8PQoh6y14fVaOZCFHvcaxatYp4e3uTDx8+kNevX5Px48cTQ0ND+ppVZ9krefPmDdHS0iJbt24l8fHx5OLFi0RfX5+4u7vTbTRhHCKRiLRp04asXbu2xjp1l3/27NnExsaGDs2+desWsbCwIGvWrKHbqPsYCCHkyZMn5PHjx+TDhw/Ew8ODdO/enfTt25fw+XxCiPqNQRHPsIULF5JWrVqRZ8+ekeDgYDJs2DAmNJsQQo4cOULatm1LdHR0SK9evegwYXXEy8uLAKjxmT17NiGECm3btGkTsbKyIlwulwwePJiEh4erVugq1CY7AHL27Fm6jTqPYe7cufS50rx5czJ8+HBakSFEvWWvj+rKjDqPozLvhLa2NrG2tiZTpkwhkZGR9Hp1lr0q9+/fJ46OjoTL5RJ7e3ty4sQJifWaMI6nT58SACQ2NrbGOnWXv6ioiKxYsYK0adOG6OrqEltbW7JhwwbC4/HoNuo+BkIIuXr1KrG1tSU6OjrEysqKLFmyhBQUFNDr1W0MiniGlZeXk6VLlxIzMzOip6dHxo8fT5KTk1UwGvlgEUJIExuDGBgYGBgYGBgUBlObiYGBgYGBgUGjYZQZBgYGBgYGBo2GUWYYGBgYGBgYNBpGmWFgYGBgYGDQaBhlhoFBTsLCwvDjjz/Czs4Oenp60NPTQ8eOHfHTTz/h7du3Em03b94sdybNoUOH0qUpFMXQoUMxdOhQmbbp1asXWCwWdu/erVBZGBgYGBoLo8wwMMjB8ePH0bt3bwQEBGDFihV48OABHj58CFdXV0RGRsLZ2RkJCQmqFlNhhIaGIiQkBACVZp+BgYFBnVBabSYGhn8rL1++xOLFizFu3DjcuHEDOjo69Lphw4ZhyZIluH79OvT09FQopWI5deoUAGDcuHF4+PAh/P39VZ4ZVCAQgMViQUuLuY0xMPx/h7HMMDDIyLZt28DhcHD8+HEJRaYq06dPr1EgsDpisRi7du2Cvb09uFwuLC0tMWvWLHz69KnW9r6+vujfvz/09PRgY2ODjRs3QiQSSbT573//i379+sHMzAxGRkbo1asXTp8+jcakk6qoqMClS5fQu3dv7Nu3DwBw5swZiTbOzs4SqfcBqmAli8VCYGAgvezWrVtgsVgIDw8HALx//x4//PADOnbsCH19fdjY2GDChAn0+kq8vb3BYrFw4cIFrFq1CjY2NuByuXj//j0A4NmzZxg+fDiMjIygr6+PgQMH4vnz5xJ9VE71RUZGYsaMGTA2NkaLFi0wd+5cFBYWSrQlhODo0aPo0aMH9PT0YGpqimnTpuHDhw8S7UJCQjB+/HhYWlqCy+XC2toa48aNkziG169fR79+/WBsbAx9fX3Y2tpi7ty5Uv/+DAwMDcMoMwwMMiASieDl5YU+ffqgZcuWjepr0aJFWLt2LUaOHIl79+7hjz/+wJMnT+Di4oKcnByJthkZGfjmm2/w7bff4u7du5g2bRq2bNmCFStWSLT7+PEjfvrpJ1y7dg23bt3ClClTsGzZMvzxxx9yy3nr1i3k5+dj7ty56NixIwYNGoSrV6+ipKSEbjNixAi8ePECAoEAAJCZmYmIiAjo6elJ1Ht59uwZWrRoAScnJwBAWloazM3NsWPHDjx58gRHjhyBlpYW+vXrV6POEgD8+uuvSE5OxrFjx3D//n1YWlrC3d0do0aNgpGREc6fP49r167BzMwMo0ePrqHQAMDUqVPRqVMn3Lx5E+vWrcOlS5fw888/S7T56aef4OrqihEjRuDOnTs4evQoIiMj4eLigszMTABAaWkpRo4ciczMTBw5cgSenp7Yv38/2rRpg+LiYgDAq1ev8PXXX8PW1hZXrlzBw4cP8dtvv0EoFMp9PBgYGGpBtQmIGRg0i4yMDAKAfPPNNzXWCYVCIhAI6I9YLKbXbdq0iVS93KKjowkAsnjxYok+AgICCACyfv16etmQIUMIAHL37l2JtvPnzydsNpuuv1IdkUhEBAIB+f3334m5ubmEPEOGDCFDhgyRaszDhg0jurq6JD8/nxBCyNmzZwkAcvr0abrNs2fPCADy4sULQggh7u7uxNDQkCxevJh8/vnndLuOHTuSmTNn1rkvoVBI+Hw+6dixI/n555/p5ZXp2gcPHizRvrS0lJiZmZEJEybUGHtlPZ1KKo/Brl27JNouXryY6Orq0r/Pq1evCACyZ88eiXYpKSlET0+PrjP09u1bAoDcuXOnzvHs3r2bAJBIhc/AwKB4GMsMA4OCqKw8W/nZs2dPnW29vLwAAHPmzJFY3rdvX3Tp0qWGRcHQ0BATJ06UWDZz5kyIxWK8ePGCXvb3339jxIgRMDY2BofDgba2Nn777Tfk5uYiKytL5jElJibCy8sLU6ZMgYmJCQBqCs3Q0FBiqmngwIHQ1dXFs2fPAACenp4YOnQoxowZA39/f5SVlSElJQXx8fEYMWIEvZ1QKMS2bdvg4OAAHR0daGlpQUdHB/Hx8YiOjq4hz9SpUyW++/v7Iy8vD7Nnz4ZQKKQ/YrEYY8aMQWBgIEpLSyW2qf47duvWDRUVFfTv8+DBA7BYLHz33XcSfVpZWaF79+7w9vYGAHTo0AGmpqZYu3Ytjh07hqioqBryOjs7AwC++uorXLt2DampqdL87AwMDDLCKDMMDDJgYWEBPT09JCUl1Vh36dIlBAYG4t69ew32k5ubCwC1TlVZW1vT6ytp0aJFjXZWVlYSfb158wajRo0CAJw8eRIvX75EYGAgNmzYAAAoLy9vUK7qnDlzBoQQTJs2DQUFBSgoKIBAIMDEiRPx8uVLxMTEAAB0dXUxcOBAWpl5/vw5Ro4ciaFDh0IkEsHX15eebqqqzKxcuRIbN27E5MmTcf/+fQQEBCAwMBDdu3evVd7qv1fllM+0adMkFEltbW3s3LkThBDk5eVJbGNubi7xncvlSvw+mZmZIISgRYsWNfp8/fo1PQVobGwMHx8f9OjRA+vXr0fXrl1hbW2NTZs20dNtgwcPxp07dyAUCjFr1iy0atUKjo6OuHz5sszHgoGBoW6YMAAGBhngcDgYNmwYPDw8kJ6eLvFwdXBwAED5rTRE5QM1PT0drVq1kliXlpYGCwsLiWWVD+2qZGRkSPR15coVaGtr48GDB9DV1aXb3blzp+GB1YJYLMa5c+cAAFOmTKm1zZkzZ7Br1y4AwPDhw/Hbb7/hzZs3+PTpE0aOHAlDQ0M4OzvD09MTaWlp6NSpE1q3bk1v7+7ujlmzZmHbtm0S/ebk5NCWoKpUz9VT+TsdOnQI/fv3r1XG2hTB+rCwsACLxYKvry+t6FSl6jInJydcuXIFhBCEhYXh3Llz+P3336Gnp4d169YBACZNmoRJkyaBx+Ph9evX2L59O2bOnIl27dphwIABMsnGwMBQO4xlhoFBRn799VeIRCIsXLiQfgOXlWHDhgGgHuZVCQwMRHR0NIYPHy6xvLi4uIbF59KlS2Cz2Rg8eDAA0GHKHA6HblNeXo4LFy7IJePTp0/x6dMnLFmyBF5eXjU+Xbt2xV9//UU7s44YMQJCoRAbN25Eq1atYG9vTy9/9uwZPQVWFRaLVUNhePjwodTTMQMHDoSJiQmioqLQp0+fWj91RZzVxfjx40EIQWpqaq39VTovVx9H9+7dsW/fPpiYmCA4OLhGGy6XiyFDhmDnzp0AQOftYWBgaDyMZYaBQUYGDhyII0eOYNmyZejVqxcWLFiArl27gs1mIz09HTdv3gQAGBkZ1dlH586dsWDBAhw6dAhsNhtjx47Fx48fsXHjRrRu3bpGdI25uTkWLVqE5ORkdOrUCY8ePcLJkyexaNEitGnTBgCVA2bv3r2YOXMmFixYgNzcXOzevbtW64I0nD59GlpaWli/fn2tYeY//fQTli9fjocPH2LSpEno3bs3TE1N4eHhgR9++IFuN2LECDqaqroyM378eJw7dw729vbo1q0bgoKC8Oeff9awVtVFs2bNcOjQIcyePRt5eXmYNm0aLC0tkZ2djXfv3iE7Oxtubm4yjXvgwIFYsGABfvjhB7x9+xaDBw+GgYEB0tPT4efnBycnJyxatAgPHjzA0aNHMXnyZNja2oIQglu3bqGgoAAjR44EAPz222/49OkThg8fjlatWqGgoAAHDhyAtrY2hgwZIpNcDAwM9aBK72MGBk0mNDSU/PDDD6R9+/aEy+USXV1d0qFDBzJr1izy/PlzibbVo5kIoSJudu7cSTp16kS0tbWJhYUF+e6770hKSopEuyFDhpCuXbsSb29v0qdPH8LlcknLli3J+vXriUAgkGh75swZ0rlzZ8LlcomtrS3Zvn07OX36NAFAEhMTJfqsL5opOzub6OjokMmTJ9fZJj8/n+jp6UlEEn355ZcEALl48SK9jM/nEwMDA8Jms+mIqKp9/Pjjj8TS0pLo6+uTQYMGEV9f3xryVUYzXb9+vVZZfHx8yLhx44iZmRnR1tYmNjY2ZNy4cRLtK49Bdna2xLaV0VlVfx9CqN+yX79+xMDAgOjp6RE7Ozsya9Ys8vbtW0IIITExMWTGjBnEzs6O6OnpEWNjY9K3b19y7tw5uo8HDx6QsWPHEhsbG6Kjo0MsLS3JF198QXx9fev8XRkYGGSHRUgjsmkxMDAwMDAwMKgYxmeGgYGBgYGBQaNhlBkGBgYGBgYGjYZRZhgYGBgYGBg0GkaZYWBgYGBgYNBoGGWGgYGBgYGBQaNhlBkGBgYGBgYGjYZRZhgYGBgYGBg0GkaZYWBgYGBgYNBoGGWGgYGBgYGBQaNhlBkGBgYGBgYGjYZRZhgYGBgYGBg0GkaZYWBgYGBgYNBo/g8Nq7BloNgIRgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 600x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assume df1_normalized and df2_normalized are your dataframes\n",
    "scale = 100  # Adjust the scale based on your data range\n",
    "dpi=1200\n",
    "fig, tax = ternary.figure(scale=scale)\n",
    "fig.set_size_inches(6,5)\n",
    "plt.subplots_adjust(left=0.1, right=0.9, top=0.9, bottom=0.1)  # Adjust the layout parameters\n",
    "tax.set_background_color('white')\n",
    "\n",
    "\n",
    "\n",
    "# Plot the data from the first CSV file\n",
    "tax.scatter(df2[['Global_awareness','Local_Awareness',  'Remote _Awareness_peak']].values,\n",
    "             s=df2['GDP_capita'].values *200,\n",
    "            marker='o', color='red', #label=\"Africa\",\n",
    "             # Adjust 'Internet' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df3[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df3['GDP_capita'].values *200,\n",
    "            marker='o', color='purple', #label=\"Asia\",\n",
    "              # Adjust 'GDP_capita' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df4[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df4['GDP_capita'].values * 200,\n",
    "            marker='o', color='blue', #label=\"Europe\",\n",
    "              # Adjust 'GDP_capita' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df5[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df5['GDP_capita'].values *200,\n",
    "            marker='o', color='green', #label=\"N America\",\n",
    "              # Adjust 'GDP_capita' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df6[[ 'Global_awareness','Local_Awareness', 'Remote _Awareness_peak']].values,\n",
    "            s=df6['GDP_capita'].values *200,\n",
    "            marker='o', color='orange', #label=\"S America\",\n",
    "              # Adjust 'GDP_capita' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "# Plot the data from the second CSV file on the same ternary plot\n",
    "tax.scatter(df7[[ 'Global_awareness', 'Local_Awareness','Remote _Awareness_peak']].values,\n",
    "            s=df7['GDP_capita'].values *200,\n",
    "            marker='o', color='olive', #label=\"Oceania\",\n",
    "              # Adjust 'GDP_capita' with the actual name of your column\n",
    "            alpha=0.6)\n",
    "plt.scatter(71,79, marker='o',s=130, color='white', edgecolor='black', alpha=0.8)\n",
    "plt.scatter(71,74.5, marker='o',s=80, color='white', edgecolor='black', alpha=0.8)\n",
    "plt.scatter(71,71, marker='o',s=30, color='white', edgecolor='black', alpha=0.8)\n",
    "plt.plot([74, 83.5], [79,79],color='black', linestyle=':',  alpha=0.8)\n",
    "plt.plot([72.5, 83.5], [74.5, 74.5],color='black',linestyle=':',  alpha=0.8)\n",
    "plt.plot([71.5, 83.5], [71, 71],color='black',linestyle=':',  alpha=0.8)\n",
    "plt.text(s='GDP Per Capita ',x=68,y=85, fontsize=14)\n",
    "plt.text(s='70 k',x=84,y=78, fontsize=12)\n",
    "plt.text(s=' 30 k',x=84,y=74, fontsize=12)\n",
    "plt.text(s='10 k',x=84.1,y=70, fontsize=12)\n",
    "\n",
    "# Add legend, title, and styling\n",
    "#tax.legend()\n",
    "tax.boundary(linewidth=2.0)\n",
    "tax.gridlines(multiple=10, color=\"black\")\n",
    "tax.ticks(axis='lrb', linewidth=2, multiple=10, offset=0.02)\n",
    "tax.clear_matplotlib_ticks()\n",
    "tax.get_axes().axis('off')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "fontsize = 12\n",
    "offset = 0.13\n",
    "# Adjust layout to make sure labels are not cut off\n",
    "plt.tight_layout(pad=2)  # You can adjust the pad value as needed\n",
    "# Set axis labels\n",
    "# Set axis labels\n",
    "tax.bottom_axis_label(\"Global Awareness\", fontsize=12, offset=0)\n",
    "tax.right_axis_label(\"Local Awareness\", fontsize=12, offset=offset)\n",
    "tax.left_axis_label(\"Remote Awareness\", fontsize=12, offset=offset)\n",
    "\n",
    "#tax.set_title(\"\", fontsize=15)\n",
    "# Manually add labels using annotate\n",
    "#tax.annotate(\"Global Awareness\", (50, -11.5), fontsize=18, ha='center')\n",
    "#tax.annotate(\"Local Awareness\", (65, 50), fontsize=18, ha='center', va='center', rotation=-60)\n",
    "#tax.annotate(\"Remote Awareness\", (-13, 50), fontsize=18, ha='center', va='center', rotation=60)\n",
    "#tax.set_title(\"Drought Awareness and GDP_capita\", fontsize=15)\n",
    "\n",
    " # Draw lines parallel to the axes\n",
    "tax.horizontal_line(33.333,color='black',)\n",
    "tax.left_parallel_line(29.106125, linewidth=2., color='black', linestyle=\"--\")\n",
    "tax.right_parallel_line(34.258483, linewidth=3., color='black',linestyle=\"dotted\")\n",
    "# Annotate a curve (you can replace this with your own curve data)\n",
    "#curve_data = [(27,5,68), (23,40,37), (48,45,7)]\n",
    "#tax.plot(curve_data, linestyle='-', linewidth=2, color='blue', label='')\n",
    "\n",
    "# Annotate specific points on the curve\n",
    "#for point in curve_data:\n",
    "#    label = f'({point[0]:.2f}, {point[1]:.2f}, {point[2]:.2f})'\n",
    " #   tax.annotate(label, point,  fontsize=8, color='black')\n",
    "\n",
    "# Customize the plot\n",
    "#tax.set_title(\"Ternary Plot with Annotated Curve\")\n",
    "#tax.get_axes().axis('on')  # Turn off axis labels\n",
    "\n",
    "# Add a legend\n",
    "#tax.legend()\n",
    "\n",
    "\n",
    "# Save or display the plot\n",
    "#plt.savefig('C:/Users/owner/Documents/SPI/corr/updated fig/Risk/fig4/drought_awareness_Intensity.jpg', dpi=1200)\n",
    "plt.show()"
   ]
  },
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   "cell_type": "code",
   "execution_count": null,
   "id": "0398a697",
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   "source": []
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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6dbd8c62",
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   "outputs": [],
   "source": []
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